Artificial Intelligence in Healthcare - Academic Edition 2022 - Glossary - Detailed Index

A

Aaron
   447
abandonment
   113, 249
abbreviations
   97, 196, 554
AbbVie
   283
ABCD
   144
Abdelaziz
   403
abdominal
   13
abilities
   2, 5, 6, 8, 12, 17, 19, 23, 31, 52, 65, 77, 85, 88, 92, 93, 102, 106–8, 112, 118, 121, 125, 127, 129, 137, 139, 144, 146, 147, 152, 157, 160, 163, 165, 167, 169, 170, 174, 182–86, 193, 196, 200, 218, 226, 234, 235, 238, 240, 261, 262, 276, 278, 282, 286, 295, 300, 303, 304, 311, 312, 315, 320, 322, 323, 328, 336, 340, 342, 343, 349, 357, 359, 364, 366, 369–71, 377–81, 388–90, 398–402, 419, 422, 424, 425, 427, 429, 431, 437, 440, 444, 448, 474, 477, 484, 485, 491, 512, 515, 517, 518, 520, 527, 529, 533, 537, 539, 542–45, 547, 550, 551, 566, 573
ablative
   380
abnormalities
   6, 16, 49, 220, 228, 231, 242, 243, 344, 372, 378, 379, 418, 423, 424, 445, 457, 459, 476, 488, 559, 561, 572
about
   2, 8, 10, 15, 21–24, 26, 28, 31–33, 44, 54, 61, 65, 69, 88, 105, 113, 115, 116, 125, 127, 130, 137–39, 141–45, 151, 160, 164, 169–74, 176, 179, 181, 182, 184, 186, 188, 224, 232, 249, 253, 254, 258, 261, 263, 290, 291, 295, 302, 303, 306, 307, 313, 316, 318–20, 331–35, 337–39, 343, 344, 348–52, 360, 362, 365, 372, 379, 380, 382, 384–86, 388, 394, 397, 401, 407, 410, 414, 417, 418, 421, 425, 428, 429, 434, 437, 439, 442, 443, 454, 462–64, 471, 472, 477, 479, 480, 483, 487, 488, 491, 496, 499, 501, 502, 505, 510, 514, 516, 518, 521, 523, 525, 532–35, 541, 542, 545, 546, 549, 552, 557, 559, 560, 562, 574, 576, 577, 582
above
   45, 47, 82, 194, 196, 197, 199, 202, 225, 304, 312, 313, 316, 318, 370, 379, 478, 548, 559
above-described
   84
above-mentioned
   313, 317
absence
   8, 27, 58, 178, 258
absolute
   95, 108, 109, 278
absolutely
   195
absorption
   272–74, 309, 398
abstract
   85, 101, 197, 236, 296, 429
absurd
   348
abundance
   15, 144, 155, 336
abuse
   44, 410–12, 419, 438
abusing
   407, 410, 413, 467
academics
   144, 226, 232, 248, 303, 336, 391, 534
accelerate
   129, 260, 377, 379, 385, 388, 424, 425, 514, 539, 544, 550
accelerator
   336
Accenture
   314
accept
   14, 88, 153, 178, 180, 199, 201, 212, 226, 309, 310, 321, 335, 430, 445, 497
access
   6, 19, 27, 44, 46, 54, 62, 93, 122, 125, 126, 128, 133, 134, 141–44, 159, 170, 172, 174, 181, 195, 198, 199, 215, 223–25, 242, 251, 262, 290, 295, 296, 299–301, 303, 306, 307, 312, 321, 348–52, 356, 357, 359, 360, 362, 371, 379, 388, 391, 392, 395, 409, 410, 415, 416, 428, 429, 432, 455, 459, 492, 501, 504, 517, 518, 524, 529, 533, 534, 538, 539, 542, 543, 545, 548, 550, 554, 557, 562, 565
accessibility
   4, 24, 39, 40, 45, 46, 99, 122, 125, 138, 163, 181, 192, 202, 241, 247, 301, 306, 307, 320, 337, 395, 417, 419, 446, 518, 529, 543, 550, 559, 571
accessory
   438
accidents
   160, 183, 218, 313, 396, 477, 546, 560
acclaim
   576
Accolade
   311
accommodate
   203, 217, 570
accompanied
   446, 495, 501
accompany
   105, 318, 466
accomplish
   347, 519, 540, 545
accordance
   266, 275, 368
according
   2, 9, 24, 33, 38, 39, 42, 45, 56, 67, 72, 77, 89, 94, 118, 119, 163, 207, 223, 225, 258, 259, 267, 289, 297, 299, 303, 308, 311–13, 319, 321, 342, 364, 370, 374, 387, 410, 417, 419, 425, 427, 439, 442, 444, 447, 476, 484, 489, 491, 508, 509, 534, 535, 550, 562
account
   137, 166, 202, 272, 274, 310, 328, 332, 535, 571
accountability
   16, 31, 33, 180, 243, 250, 340, 380, 570
accounted
   552
accounting
   238, 278, 536
accounts
   310
accreditation
   202
accrued
   529
accumulated
   38, 173, 196, 254, 332, 359
accuracy
   5, 6, 8, 9, 11–13, 15, 16, 19–24, 30, 33, 38, 39, 49, 52, 56, 68, 70, 74, 76, 84, 94, 95, 100, 106, 108, 109, 127, 129, 131, 133, 135, 139–42, 144, 146, 152–55, 157, 158, 163, 165, 166, 168, 175, 176, 178, 185, 193, 194, 196–201, 203, 207, 208, 226, 229–32, 236, 238, 239, 258, 260, 262, 274–76, 278, 286, 294–96, 298–300, 303, 309–12, 331, 333, 338, 343, 344, 348, 357, 360, 367, 372, 374, 375, 377–79, 382–84, 390, 391, 393, 396–98, 401–4, 413, 417, 423–26, 433–36, 438, 440, 442, 443, 445, 450–54, 459, 460, 464, 466, 467, 470–72, 475, 476, 478, 480, 482, 488, 493, 496, 497, 509, 518, 521, 548, 553, 554, 562, 563, 565, 569, 571, 572
accuse
   167
achieve
   2, 17, 28, 38, 49, 59, 60, 69, 93, 95, 107, 124–27, 129, 130, 133, 138, 141, 142, 144, 145, 149, 156, 179, 180, 208, 239, 246, 257, 267, 281, 297, 304, 311, 317, 339, 363, 370, 383, 402, 438, 440, 460, 492, 496, 497, 502, 516, 521, 534, 536, 550
achievements
   434, 532–34
achingly
   446
ACI
   21
acids
   264, 276
acknowledge
   27, 195, 323
ACL
   445
ACM
   554
acquainted
   32, 303
acquired
   32, 41, 48, 121, 194–96, 199, 211, 213, 262, 283, 315, 319, 332, 373, 442, 451, 491, 542
ACR
   126
acronym
   5, 117
across
   21, 39, 95, 104, 105, 112–14, 128, 129, 157, 187, 197, 198, 202, 209, 211, 215–17, 225, 235, 246, 262, 298, 306, 311, 313, 315, 322, 330, 346, 351, 352, 359, 370, 408, 453, 546, 556, 568
act
   6, 9, 21, 41, 64, 79, 148, 158, 179, 181, 199, 240, 243, 295, 402, 462, 534
action
   2, 5, 29, 59, 60, 80, 229, 253, 299, 335, 380, 451, 464, 481, 517, 526, 535
actionable
   10, 126, 236, 333, 335, 344, 356, 398, 425, 496
activated
   83
activation
   90, 119, 477
active
   9, 16, 17, 25, 81, 112, 114, 120, 127, 177, 178, 192, 223, 236, 271, 357, 363, 365, 385, 442, 472, 491, 538, 556
activities
   48, 80, 107, 112, 150, 153, 164, 169–71, 176, 177, 200, 207, 235, 249, 257, 258, 272, 273, 290, 335, 349, 401, 402, 405, 415, 454, 479, 483, 489, 495, 522, 526, 548, 556–58
acts
   41, 46, 79, 98, 214, 224, 257, 263, 337, 389, 534
actual
   59, 74, 83, 84, 101, 116, 165, 193, 201, 202, 225, 417, 468, 501
actualization
   347
actually
   18, 33, 81, 156, 173, 184, 209, 364, 365, 416, 417
actuators
   41
acute
   21, 40, 42, 43, 193, 253, 256, 267, 303, 414, 459, 470, 491, 542
acutely
   144
Ada
   75
AdaBoost
   75, 76
adapt
   62, 178, 296, 358
adaptive
   21, 154, 198, 209, 247, 278, 320, 411, 552
added
   12, 43, 74, 75, 89, 90, 96, 97, 117, 138, 155, 171, 223, 241, 251, 397, 426, 427, 481, 519, 556
addiction
   187, 312, 410, 411, 549
addition
   11, 12, 14, 22, 37, 40, 49, 67, 75, 88, 98, 101, 107, 114, 129, 133, 155, 177, 179, 182, 185, 199, 200, 204, 206, 213, 225, 226, 241, 242, 257, 274, 276, 277, 279–81, 318, 320, 328, 329, 341, 367, 370, 384, 387, 394, 397, 412, 425, 429, 436, 471, 487, 489, 516, 523, 524, 526, 546, 556
address
   14, 31, 32, 117, 165, 166, 192, 194, 199, 202, 204, 208–10, 213, 215, 216, 221, 246, 268, 306, 318, 338, 340, 347, 414, 446, 452, 520, 524, 562
adds
   83, 173, 241, 524
adenocarcinoma
   491
adenomas
   455
adept
   221, 234
adequate
   7, 32, 35, 173, 174, 226, 300, 307, 339, 345, 394, 416, 452, 456, 460, 471, 522
adequately
   33, 237, 351, 425
ADHD
   44
adherence
   26, 184, 186, 187, 216, 281, 366, 543
adhesive
   359
adjacent
   402
adjunct
   41, 43, 47
adjust
   52, 83, 95, 243, 283, 402, 518, 552, 562
adjuvant
   15, 44
ADLS
   403
administration
   4, 9, 13, 16, 19, 27, 29, 33, 35, 38, 40, 134–36, 193, 200, 204, 215, 218, 223, 242, 271, 281, 302, 336, 373, 409, 417, 421, 447, 508–10, 560
admissions
   111, 470, 554
admitted
   180, 192
adolescents
   419
adoption
   4, 7, 9, 14–16, 32, 63, 86, 133, 177, 184, 194, 198–200, 209, 210, 223, 232, 233, 235, 294, 302, 308, 320, 322, 323, 330, 339, 340, 353, 378, 385–87, 397, 415, 418, 421, 426, 428, 434, 453, 501, 516, 533, 562
ADPKD
   470
adults
   13, 35, 46, 47, 375, 414, 419, 489
advanced
   10, 12, 14, 15, 19, 20, 29, 32, 35, 54, 60, 65, 112, 114, 124, 141, 144, 146, 159, 162, 163, 175, 187, 189, 192, 193, 196, 202, 203, 210, 211, 215, 218, 226, 235, 236, 238, 253–56, 260, 261, 266, 267, 279, 282, 287–89, 295, 296, 300, 301, 308, 315, 318, 319, 328, 336, 339, 341, 353, 356, 362, 371, 372, 376, 379, 380, 385–89, 392, 400, 406, 414, 426, 427, 429, 444–46, 448, 465, 478, 480, 482, 487, 506, 507, 513–15, 517, 518, 521, 524, 529, 541, 543, 547, 548, 550, 553, 558–60, 564, 572, 576
advantage
   9, 12, 20, 59, 69, 131, 132, 173, 242, 278, 279, 283, 301, 302, 306, 308, 316, 339, 358, 378, 379, 394, 418, 430, 436, 440, 445, 484, 504, 515, 526–28, 544
advent
   152, 158, 196, 399, 444, 449, 454, 481
adverse
   42, 152, 230, 251, 275, 330, 367, 385, 398, 403, 404, 419, 471
advertisements
   108, 162, 171
advice
   26, 141, 147, 163, 248, 346, 444, 468, 534
advisable
   48, 64, 205, 366, 469
advocate
   29, 201, 317, 357
affected
   30, 32, 74, 75, 95, 117, 119, 127, 128, 131, 132, 177, 186, 223, 247, 253, 263, 264, 271, 315, 332, 334, 337, 344, 362, 368, 369, 384, 386, 388, 394, 398, 401, 408, 416, 427, 447, 474, 495, 520, 549, 576
affinity
   261, 274
affixed
   568
afflicted
   414, 417
affordability
   32, 35, 138, 192, 312, 412, 439, 446, 529, 558, 562, 568
aforementioned
   140, 358
afraid
   188, 434
African
   338
age
   44, 45, 47, 103, 112, 147, 232, 247, 255, 257, 312, 359, 378, 379, 402, 423, 438, 443, 446, 541, 559, 571
agencies
   20, 29, 35, 59, 60, 138, 168, 176, 186, 188, 229, 261, 262, 271, 287, 340, 389, 407, 472, 521, 523, 534, 542
aggregate
   74, 102, 121, 157, 198, 246, 315, 330, 523, 556
aggressive
   437
agile
   319
Agilent
   21
aging
   308
AI-agents
   183, 188
AI-aided
   445
AI-analyzed
   338
AI-assisted
   22, 210, 399, 444
Ai-augmented
   18, 210, 224, 225, 241, 297, 313, 314, 528
AI-backed
   2, 4, 17, 400, 405, 460, 495
Ai-based
   7, 16, 28–30, 33, 42, 43, 45, 47, 49, 117, 236, 239, 241, 254, 256, 257, 260, 264, 319–21, 330, 333, 336, 356, 357, 359, 370–73, 389, 392, 393, 402–5, 416, 418, 425, 431, 432, 434–37, 439–41, 444, 445, 447, 451, 457, 459, 462, 471, 474–82, 488, 491, 497, 509, 548, 551, 570, 573
AI-capable
   210
AI-controlled
   400, 454
AiCu
   360
AiCure
   26, 477
aid
   19, 100, 130, 138, 139, 248, 257, 258, 265, 271, 280, 336, 343, 359, 360, 362, 366, 377, 379–81, 389, 419, 420, 427, 431, 435, 436, 477, 498, 542, 552
aided
   12, 330, 374, 524
AI-dependent
   402
aides
   319
aiding
   14, 249, 418, 428, 436, 449
Aidoc
   42, 43, 570
AI-driven
   12, 44, 46, 283, 314, 334, 436–38
aids
   100, 330, 366, 389, 417, 525, 553
AI-embedded
   258
AI-empowered
   512
AI-enabled
   2, 5, 6, 11, 14, 16, 17, 19, 29, 137, 205, 221, 237, 240, 254, 481, 555
AI-enhanced
   373, 381, 508
AI-enriched
   224, 427, 456
AI-first
   545
AI-generated
   199, 224, 226, 282
Ai-guided
   370, 436
AI-infused
   237
AI-integrated
   304, 436, 481
ailments
   23, 139, 141, 143, 357, 358, 360, 421, 422, 427, 429, 553, 559
aimed
   8, 11, 17, 21, 29, 35, 37–41, 43, 44, 46, 47, 49, 52, 60, 61, 83, 84, 91, 118, 119, 124, 126, 128–30, 133, 145, 154, 156, 158, 234, 247–49, 266, 277, 282, 283, 286, 291, 295, 302, 334, 337, 339, 373, 383, 394, 396, 397, 401, 402, 405, 407, 409–11, 422, 497, 505, 523, 527, 532, 534, 540, 546, 568, 569, 571–73
AI-model
   140
AI-operated
   445
Ai-powered
   2, 13, 25, 37, 38, 40, 42, 139–41, 253, 254, 256, 260, 282, 311, 313, 374, 396, 422, 446, 508, 545, 546, 551, 554, 555, 559, 561, 564, 571
airborne
   290
AI-related
   371
air-filled
   89
airline
   464
airport
   2
airtight
   180
AI-scored
   220
AI-supported
   29
AKI
   149, 470, 542
akin
   25, 201
Akira
   22
Alan
   92, 566
alarm
   37, 405, 429, 463, 470, 471, 488
Albert
   41
album
   546
alcohol
   280, 407, 435
alert
   20, 21, 40, 47, 113, 114, 219, 228, 254, 268, 358, 412, 431, 464, 470, 534, 548, 555
Alex
   403
Alexa
   2, 183, 201, 346, 385, 518, 545, 554
Alexander
   405
algebra
   87, 101
algorithm
   2, 4–6, 10–13, 15, 16, 19–23, 25–27, 29, 30, 32, 33, 37–39, 41–45, 48, 49, 52, 54–56, 58–62, 66, 67, 69–72, 74, 75, 81, 85–87, 92–95, 97, 100, 101, 107, 110, 116–21, 124–26, 131, 134, 139–42, 145–48, 150–59, 162, 166, 167, 175–77, 192, 195, 197, 201, 219, 221, 223, 225, 226, 229, 236, 238, 240–42, 248, 251, 253, 254, 256–58, 262, 263, 265, 267, 268, 272–75, 279, 281, 282, 297, 299, 301, 308–13, 316–19, 322, 323, 329, 331, 333, 334, 336, 338–40, 343, 344, 350, 356, 357, 359, 360, 363, 373, 375, 376, 378, 379, 381, 384, 388–93, 397–99, 401–4, 408, 416–26, 428, 432, 435–37, 440, 445, 447, 449, 450, 453–55, 459, 460, 463–67, 469–74, 476–78, 481, 485, 487, 488, 490–93, 495, 497–99, 508, 518–20, 522–24, 541–44, 546, 551, 552, 554, 555, 558, 559, 561, 564, 570, 573
Alibaba
   545
aligned
   188, 194, 195, 202, 234
aligner
   195, 439, 445
alike
   139, 176
Alipay
   260
alive
   265
AliveCor
   37, 39
allay
   31
Allen
   12, 253
allergic
   196, 429
allergy
   112, 137, 215, 333, 338
alleviate
   239, 317, 356, 453
Allina
   424
all-knowing
   381
allocate
   151, 256, 364, 403, 464, 523
allotted
   333, 402
all-out
   504
Allscripts
   303
Alpha
   276, 359, 374
alphabet
   152, 359, 432, 541
AlphaFold
   264, 542
AlphaGo
   542
AlphaZero
   542
ALS
   539
Al-Siddiq
   359
alterations
   26, 201, 228, 257, 267, 335, 351, 427, 440, 537
alternative
   63, 116, 117, 133, 137, 145, 154, 158, 167, 247, 253, 278, 363, 394, 398, 409, 411, 412, 525
Alzheimer’s
   46, 476
amalgamation
   369, 388, 518
amassed
   296
amaurosis
   336
Amazon
   2, 88, 199, 253, 302, 328, 385, 515, 518, 545, 554, 555, 581
ambulances
   248
ambulatory
   37, 38
AmCAD-US
   40
American
   10, 42, 112, 195, 321, 339, 372, 375, 402, 404, 413, 423, 508, 543, 569
Ames
   444
amino
   264, 276
Amit
   354
ample
   22, 174
amplify
   167, 323
amputees
   527
Ana
   472
analgesia
   404
analogous
   194, 199
analysis
   2, 5, 9, 13, 15, 19, 25–28, 30, 38, 40, 42, 43, 47, 48, 54, 55, 58, 59, 61, 65, 91, 93, 102, 108, 110, 111, 129, 137, 138, 148, 149, 151, 155, 164, 167, 168, 173, 174, 213, 214, 221, 226, 232, 239–42, 248, 249, 270, 273, 274, 282, 287, 296–99, 301, 312, 320, 326–35, 337–40, 363, 368, 374, 377, 378, 380, 387, 388, 392, 394, 397, 398, 403, 408, 415–17, 419, 424, 425, 431, 432, 436–39, 442, 443, 445, 450, 453, 457, 459, 480, 487, 492, 493, 497, 504, 506, 516, 518, 524, 537, 558, 564, 565, 570, 572, 576
Analytica
   164, 466
analytics
   6, 21, 23, 102, 106–14, 137, 138, 140, 142, 143, 219, 236–38, 240, 241, 260, 296, 298, 303, 304, 328, 337, 344, 358, 359, 370, 388, 423, 425, 431, 518, 520, 541
analyzers
   2, 5, 6, 8–13, 21, 23, 25, 27, 40, 47, 48, 58, 62, 65, 86, 92, 108, 111, 128, 133, 135, 138, 139, 143, 148, 165, 188, 214, 223, 233, 236–39, 242, 248, 249, 271, 273, 275, 279, 298, 312, 314, 315, 327, 328, 331–33, 335–37, 342–44, 356, 358, 359, 365, 368, 372–74, 381, 387, 389, 390, 394, 401, 404, 408, 412, 416, 422, 423, 431, 432, 436, 437, 444, 445, 455, 461, 462, 464, 465, 469, 470, 472, 475, 481, 486, 492, 498, 500, 504, 507, 518, 528, 536, 538, 548, 554, 555, 558, 560–64, 569, 571, 572
anaphylactic
   153
anaplastic
   455
anastomosis
   397, 399
anatomical
   139, 237, 242, 307, 330, 372, 399, 434, 442, 517, 554
ancillary
   335
Anderson
   496
Andhra
   535
Andover
   21
Andrew
   578
android
   96, 98, 402, 408
anemia
   471, 472
anesthesia
   169, 401–7
anesthesiologists
   30, 401–5
anesthetic
   402–4, 407, 408
ang
   229
angiograms
   21
angles
   211, 276, 387
ANI
   404
animals
   35, 89, 190, 265, 266, 270, 465, 504–7, 523
ANN
   5, 52, 53, 81–86, 151, 152, 273, 280, 283, 397, 398, 401, 436, 438, 439, 470, 472
ANN-based
   281
annotations
   153, 213, 214, 224, 226, 231, 232, 326, 331, 332, 388, 390, 394
announced
   113, 192, 202, 283, 302, 514, 544, 546
annual
   4, 11, 386, 434, 523, 532, 533
annum
   11
anomalies
   5, 225, 389, 412, 427, 534, 570, 572
answerable
   118
ant
   523
antacid
   279
anthropological
   435
antibiotic
   10, 147, 149, 461
antibodies
   264
anticipate
   15, 23, 114, 127, 217, 314, 422, 428
anticoagulants
   377
antidotes
   183
Antifungal
   461
antihypertensive
   61
antimicrobial
   238
Anti-parasitic
   461
anti-rheumatic
   496
antitampering
   340
anti-vax
   202
antiviral
   261, 461, 568
anxiety
   158, 407, 419, 498
aortic
   398
apace
   514
apex
   438
aphthous
   435
API
   214, 422, 544, 554, 557
apical
   436, 438
apnea
   47, 565
Apollo
   422, 546, 551
app
   22–27, 38, 40, 44–47, 98, 141, 164, 172, 224, 241, 256, 260, 263, 298, 310, 328, 347, 360, 369, 370, 409, 410, 413, 416, 417, 431, 432, 439, 443, 444, 464, 542, 545, 549, 552, 556, 557, 572
apparent
   7, 318, 378
appeal
   28, 495
appear
   154, 211, 262, 573
appendectomy
   404
appended
   154, 224
appetite
   27
apple
   6, 24, 38, 39, 69, 224, 257, 258, 328, 416, 468, 556, 557, 581
applicable
   54, 145, 457, 466
applicants
   46, 312
application
   4–7, 9, 10, 12–14, 16, 18–20, 24, 27–29, 32, 35–38, 40, 44–46, 52, 54, 59, 63, 68, 70, 72, 86, 91, 96, 98, 99, 104, 107, 111, 115, 126, 129, 130, 133, 137, 144, 146–52, 156, 158, 165, 169, 171, 172, 174, 193, 197, 205, 211, 212, 214, 219, 221, 224, 225, 231, 233, 234, 236–38, 240, 241, 243, 246–50, 252, 253, 255, 260, 268, 272, 278, 282, 285, 286, 296, 302, 308–10, 315, 316, 319–22, 326–28, 330, 332, 333, 336–41, 343, 345–47, 349, 352, 357, 358, 360, 362, 365, 370, 372–74, 378, 379, 382, 384, 386, 387, 390–97, 399, 402, 415, 416, 420, 423, 425, 431, 434, 436, 443, 444, 448, 453–55, 459, 460, 469, 472, 473, 476, 480, 484, 486–88, 495–97, 508, 513, 514, 516, 518, 520, 524, 527, 528, 544, 545, 554, 557–60
applied
   2, 5, 6, 10, 16, 17, 19, 22, 30, 33, 54, 59, 63, 71–74, 79, 83, 87, 108, 109, 113, 119, 131, 133, 134, 145, 165, 171, 177, 178, 192, 193, 195, 207, 208, 210, 219, 233–35, 238, 257, 261, 262, 273, 275, 277, 278, 280–83, 315, 322, 333, 335, 340, 343, 349, 359, 372, 373, 387, 390, 393, 396, 397, 400, 402, 404, 406, 408, 409, 416, 420, 424, 426, 436, 437, 440, 441, 449, 460, 470, 472, 484, 495–97, 514, 525, 526, 570
appointments
   215, 311, 381, 434, 439, 468, 499, 502
appraisals
   146, 339
appreciation
   145, 254
apprehension
   11, 31
appropriate
   29, 38, 50, 60, 62, 67, 117, 119, 132, 138, 145, 147, 152, 155, 156, 158, 159, 177, 193, 195, 197, 198, 204, 213, 239, 261, 281, 318, 335, 342, 344, 378, 384, 390, 392, 444, 451, 516, 519, 535, 565
approvals
   4, 6, 16, 24, 28, 35, 37–49, 135, 172, 205, 208, 232, 242, 260, 261, 271, 275, 281, 336, 338, 341, 372, 388, 439, 443, 444, 447, 568, 571
approximately
   71, 277, 278, 331, 414, 427, 466, 484
Aprikian
   30
April
   41, 48, 336
aptitudes
   498
aqueous
   272
arbitrary
   522, 523
architects
   199
architecture
   86, 126, 144, 146, 148, 151, 152, 156, 159, 197, 204, 217–19, 224, 225, 302, 341, 402, 416, 455
archive
   196, 214, 218, 224, 373, 387, 389, 573
ARDS
   267
arduous
   20, 139, 312, 533
arguably
   238, 274, 281
arguments
   142, 160, 193, 200, 201, 212
arise
   72, 113, 150, 153, 159, 171, 229, 305, 318, 331, 345, 349, 350, 362, 367, 446, 470, 479
arm
   13, 392, 397, 489
Armonk
   442
armory
   193
Armstrong
   512
arose
   287
arousal
   47
arranged
   53, 82, 229, 277, 317, 476, 499, 520, 522
array
   89, 97, 98, 101, 264, 320, 321, 413, 419, 507
arrest
   405
arrhythmias
   38, 39, 149, 534, 559
arrive
   10, 116, 240, 336, 337, 389, 390, 415, 421, 425, 451, 481, 495, 509, 523, 527
arrows
   226, 231, 392
art
   140
artery
   42, 425, 426, 477, 565
Arterys
   40, 41, 374, 378, 423, 424
arthritis
   495, 496
arthroplasty
   444
Arthur
   50, 52
articles
   10, 37, 92, 103, 194, 253, 261, 337, 364, 366, 367, 442, 448
artifacts
   230, 331
artistic
   363
arv
   581
ASA
   402
ascertain
   30, 523
ASD
   44
Asia
   372, 373, 387, 414
ask
   24, 28, 65, 142, 144, 146, 172, 180, 192, 201, 357, 360, 363, 389, 415, 417, 420, 535
aspiration
   217, 237, 379
assaults
   438, 477
assays
   240, 274, 276, 392
assembled
   39, 72, 205, 294, 519
asserted
   210
assess
   38, 40, 41, 44, 46, 47, 56, 87, 111, 117, 124, 130, 135, 167, 175, 176, 180, 193, 196, 200, 205, 220, 230, 248, 254, 258, 261, 276, 282, 312, 320–23, 328, 340, 346–50, 364, 378, 379, 387, 393, 402, 403, 409, 415, 423, 424, 436, 442, 464, 472, 474, 476, 477, 481, 539, 564
asset
   267, 360, 378
assigned
   22, 64, 71, 72, 89, 119, 134, 153, 154, 196, 200, 220, 228, 231, 275, 320, 393
assignments
   86, 320
assimilate
   148, 196, 197, 237, 331, 394
assist
   2, 8, 13, 20, 21, 42–45, 47–49, 91, 139, 183, 184, 187, 188, 193, 196, 198, 199, 221, 235, 247–50, 253, 258, 267, 282, 285–87, 290, 297, 302, 321, 325, 328, 344, 346, 347, 349–53, 356, 358, 363, 370, 371, 375, 379, 383, 385, 390, 391, 393, 401, 403, 405, 412, 418, 424, 434, 470, 476, 478, 499, 503, 505, 506, 517, 518, 520, 525, 528, 534, 535, 539, 545–47, 555, 559, 571, 573, 577
assistive
   117, 249, 391
associated
   10, 11, 17, 37, 48, 52, 85, 128, 141, 143, 175, 218, 229, 234, 266, 268, 277, 289, 297, 302, 347, 379, 386, 412, 453, 470, 480, 515, 524, 564
associations
   10, 24, 58, 144, 151, 153, 196, 261, 321, 337, 375, 376, 423, 438, 508
assortment
   102, 364, 434
assumed
   65, 69, 70, 84, 168, 176, 277, 317, 474, 500, 512, 562
assurance
   33, 179, 281
asthma
   488
astonishingly
   69, 554
astounding
   105, 144
Astra
   335
AstraZeneca
   283
astro
   198
astrophysics
   199
asymmetries
   49
asymptomatic
   37
asynchronous
   99
Atari
   542
Atazanavir
   261
Athelas
   239
at-home
   258, 482
ATL
   21
Atlas
   12, 330, 388, 484
Atlases
   119
atom
   274, 277, 278, 335
atomic
   277, 278
atoms
   272, 273
Atomwise
   25, 568
atrial
   6, 37, 113, 423, 534, 559
attached
   22, 28, 380, 528, 532, 538
attack
   23, 65, 202, 264, 341, 423, 476, 525
attempt
   29, 137, 145, 221, 274, 296, 342, 359, 423, 519, 548
attention
   13, 22, 44, 75, 99, 114, 154, 155, 187, 219–21, 234, 240, 258, 270, 286, 296, 300, 318, 402, 403, 405, 427, 459, 469, 488, 501, 504, 542, 548, 573
attitude
   32, 173
attraction
   13, 19, 21, 99, 137, 211, 357, 484
attributes
   64, 65, 67, 86, 182, 186, 216, 254, 317, 367, 520
AUC
   95, 157, 495
audience
   19
audio
   25, 83, 418, 519
audio-video
   400
audited
   159, 182
auditor
   310
auditory
   547
audits
   176, 309
augmented
   11, 20–22, 33, 39, 43, 44, 138–40, 143, 145, 146, 152, 155, 218, 221, 234, 240, 249, 250, 296, 309, 329, 334, 392, 394, 399, 400, 404, 405, 425, 455, 457, 483, 499, 504, 516, 527, 559, 577
August
   37, 42, 47
Aumuller
   379
Australia
   373, 422, 535
Australian
   571
authentic
   139
authentication
   35, 105, 259
author
   30, 32, 581, 582
authorities
   117, 172, 181, 268, 548
authority
   194
authorizations
   125, 126, 135, 241, 509
autism
   44, 344, 442, 488, 489
autistic
   44
auto
   72
auto-analyzers
   459
autoencoders
   87
auto-encoders
   87
autoimmune
   496
automated
   12–14, 20, 42, 45, 88, 135, 137, 138, 140, 141, 143, 147–49, 154, 187, 188, 200, 210, 218, 224, 228–31, 233, 236, 238, 239, 242, 246, 247, 249, 283, 302, 320, 333, 334, 336, 337, 359, 360, 372, 373, 379, 380, 383, 385, 388, 395, 399, 402, 403, 405, 408, 420, 424, 428, 438, 443, 447, 448, 453, 459, 470–72, 480, 481, 488, 508, 509, 519, 520, 528, 551, 559, 573, 578
automatically
   9, 38, 46, 53, 67, 68, 86, 110, 113, 142, 231, 238, 241, 257–59, 310, 381, 385, 390, 393, 402, 403, 424, 426, 437, 455, 471, 481, 552, 564
autonomous
   2, 45, 60, 107, 139, 158, 223, 237, 249, 250, 285, 288, 398, 399, 442, 528, 544, 546, 576
Autosomal
   470
auto-tagging
   88
autumn
   523
AVaaS
   564
avail
   306, 352
available
   4, 10, 19, 20, 32, 37, 39, 40, 45, 55, 67, 77, 91, 96, 103, 106, 109, 124, 138, 142, 143, 145–47, 152, 156, 164–66, 169, 170, 172, 173, 175, 177, 183, 192, 194, 195, 202, 204, 209, 210, 213, 215, 218, 225, 239, 261, 266, 277, 282, 296, 297, 299, 300, 309, 313, 322, 328, 336, 338, 339, 343, 345, 348, 351, 357, 366, 370, 381, 384, 392, 408, 413, 416, 423, 425, 429, 440, 460, 464, 467, 468, 479, 509, 522, 524, 535, 549, 558, 565, 571, 577
avenues
   29, 363, 541
averaged
   24, 44, 70, 74, 77, 150, 151, 155, 157, 210, 268, 270, 311, 313, 344, 379, 391, 470, 534, 539
avert
   412, 548
avian
   266
AWS
   555
Axel
   443
axon
   77, 78
Ayzenberg
   2
Azati
   310
Azure
   404, 551–53

B

baby
   480, 557
Babylon
   24, 141
backbone
   289, 317
backend
   98, 171
background
   54, 237, 339, 395
backlash
   184
backpack
   524
backpropagation
   62, 84, 281
backup
   24, 515, 516, 546
bacteria
   22, 239, 365, 369, 461, 465, 523
bagging
   74, 77
Bahr
   39
Baidu
   32, 257, 265, 328, 545–47
balance
   16, 154, 158, 268, 368, 373, 409, 453, 466, 471
bald
   202
ball
   416
band
   6, 9, 104, 107, 112, 230, 423
bandages
   444
bandwagon
   577
bandwidth
   528
Bangkok
   464
bank
   138, 181, 237, 239, 240
Barack
   244
Barbieri
   471
Barcelona
   515
Baricitinib
   192, 261, 338
barrier
   14, 178, 194, 199, 209, 211, 212, 225, 320, 322, 345, 394, 518
bars
   364
base
   2, 7, 8, 11, 12, 16, 29, 33, 41, 42, 45, 50, 52, 54, 56, 59, 61, 62, 67, 69, 71, 72, 75, 92, 93, 99, 103, 104, 112, 115, 117, 128, 137, 141, 147, 155, 167, 171, 178, 182, 187, 194, 196, 199–201, 206, 211, 213, 220, 228, 232, 238, 242, 243, 246, 250, 251, 254, 255, 257, 259, 263, 265, 267, 271, 272, 274–77, 280–82, 298, 310–12, 318, 319, 321, 323, 328–31, 333, 334, 339, 343, 345, 360, 363, 367, 369, 373, 382, 389, 392, 393, 397, 401–3, 416, 417, 422, 426, 429, 431, 435, 437, 438, 442, 449, 451, 454, 455, 458, 460, 465, 471, 472, 479, 483, 491, 492, 496, 498, 499, 504, 518, 520, 522, 523, 546, 551, 553, 555, 565, 568
basic
   20, 59, 68–70, 103, 111, 121, 122, 156, 163, 179, 186, 187, 246, 247, 260, 263, 298, 312, 317, 321, 322, 448, 514, 521, 524, 532, 533, 538, 561
basis
   23, 33, 77, 81, 93, 98, 201, 223, 294, 299, 309, 319, 449, 498, 516
batches
   110, 198
bats
   265, 466
battle
   287, 290
Bay
   38, 424
Bayer
   283
Bayesian
   55, 69, 119, 259, 276, 343
Baylor
   405
BCI
   526, 527
beams
   397
bearing
   86, 149, 206
bear-shaped
   290
beat
   24, 542
beautiful
   523
Bebot
   258
Becker
   375
bed
   8, 114, 238, 256, 266, 290, 403, 556
bedrock
   33
behavior
   2, 25, 30, 44, 45, 52, 56, 147, 148, 163, 164, 167, 178–80, 184, 186, 187, 199, 250, 255, 261, 266, 278, 282, 283, 366, 369, 408, 411, 412, 414, 415, 417, 465, 477, 523, 548
Beijing
   24, 38, 141, 547
Belgium
   493
belief
   7, 14, 15, 18, 31, 32, 87, 92, 117, 118, 184, 197, 314, 347, 363, 364, 366, 368, 378, 410, 416, 417, 447, 521, 525, 532, 535, 569, 576
bell
   65, 69
Belladonna
   407
bellwether
   196
benchmark
   28, 282, 537
bend
   74
beneficial
   49, 174, 188, 193, 261, 283, 338, 362, 372, 431, 451, 469, 478, 499, 502, 505, 506
Benevolent
   192, 261, 337, 428
benign
   332, 491
BERT
   152
bespoke
   147, 223, 258
Beta
   401
Beth
   239, 415
BGI
   558
bias
   8, 15, 27, 30, 33, 117, 125, 140, 159, 166–68, 176, 200, 226, 232, 249, 318, 338, 474
bid
   337
billing
   13, 111, 134, 180, 233, 310, 495, 509, 536
billion
   4, 11, 137, 264, 270, 285, 308, 310, 312, 314, 335, 359, 365, 378, 427, 429, 508, 537–39, 546, 547, 556
binary
   63, 64, 66, 67, 83, 84, 156
bind
   63, 129, 261, 264, 274, 275, 277, 279, 331
Bio
   272–74, 428, 569
biobanks
   390, 400
biochemical
   79, 307, 430, 440
biodata
   560
Bioengineering
   416
biofeedback
   471
BioFlux
   38
Biofourmis
   260
bio-immunology
   237, 239
bio-impedancemetry
   472
bioinformatics
   270, 344, 455, 522, 547
bio-inspired
   397
biological
   5, 35, 58, 71, 72, 77, 79, 81, 165, 193, 239, 262, 271, 275, 277, 327, 332, 342, 362, 364, 365, 367, 519, 522, 523, 530, 547, 550, 569, 570
biomacromolecules
   271
biomarker
   112, 329, 330, 334, 335, 344, 383, 392, 393, 415, 444, 453, 454, 497, 506, 556, 571
biomechanics
   442
biomedical
   24, 240, 261, 328, 342, 343, 422, 522
biometric
   110, 198, 359, 519
BioMind
   24, 141
biopharmaceutical
   283
biophysics
   375
Bioprinting
   162
biopsies
   158, 343, 393, 396, 436, 471
biosciences
   570
biosensors
   165, 166, 260
biotechnology
   336, 365, 366, 368, 370, 371, 422, 538, 541, 547, 552
Biotricity
   359
bipolar
   26, 416
BIRADS
   42
birds
   523
birth
   88, 93, 215, 441, 448, 481, 487
BIS
   401, 402
Bispectral
   401
bit
   37, 116, 169, 170, 203, 370, 376, 474, 515, 528
bitewings
   439
Blackford
   224
bladder
   398, 473, 500
blank
   547
bleeding
   42, 43, 288, 322, 448, 474, 526
bleeding-edge
   107
blend
   374, 430, 517, 545, 550
blind
   23, 305, 336, 447, 448, 553
blink
   137
blistering-fast
   558
block
   525, 556
blockade
   402, 405
blockchain
   106, 340, 341, 359, 524–26, 543, 582
blood
   9, 22, 41, 45, 46, 61, 107, 112, 139, 148, 149, 153, 158, 162, 165, 169, 198, 237–40, 257, 289, 329, 330, 358, 364, 365, 374, 394, 399, 423, 424, 448, 454, 455, 459, 460, 469, 471, 472, 556, 558, 565, 569
blood-glucose
   364, 365
bloodstream
   239, 405
Blue
   89
BlueDot
   262, 267, 463, 464
blueprint
   263, 552, 553
Bluetooth
   107, 108
BMI
   13, 527
board
   40, 108, 141, 146, 204, 205, 208, 209, 358, 391
Boeing
   2
bolster
   426
Boltzmann
   87, 519
bombs
   16
bonds
   140, 272, 273, 276, 278, 526
bone
   89, 376, 378, 379, 404, 435, 437, 442, 443, 445, 459, 496
Bonus
   568
book
   309, 312, 581
booking
   555
bookshelf
   385
boom
   106, 287
boon
   241, 446, 451
boorish
   192
boost
   75, 131, 372, 377, 577
boosting
   29, 75–77, 99, 100, 117, 147, 273, 358, 470
booths
   429
bootstrap
   74
Bor
   459
borderline
   417
borders
   443, 552
bored
   212, 235
born
   414, 427, 545
Born-Oppenheimer
   277
bot
   28, 138, 140, 287–89, 313, 314, 358, 417, 534, 551, 553, 554
boundary
   64, 73, 74, 89, 128, 158, 180, 183, 433, 538
boundless
   7
bowel
   158
Bozic
   280
BPM
   178
Bra
   545
brain
   5, 12, 24, 41, 42, 44, 53, 77–81, 96, 182, 187, 330, 373, 381, 396, 401, 409, 415, 457, 474–78, 488, 523, 526, 527, 542, 545, 547, 572, 577
Brain-Computer
   526, 527
brainstorming
   553
brainwave
   418
branch
   19, 52, 65, 67, 69, 130, 139, 163, 342, 357, 365, 366, 371, 415, 459, 520, 541
brand-new
   30
brands
   545
Brazil
   422
breach
   142, 164, 174, 175, 180, 195, 218, 299, 306, 307, 446, 525, 543
bread
   58
break
   52, 207, 212, 219, 362, 550
breakdown
   138
breakthrough
   44, 92, 263, 295, 301, 334, 363, 447
breast
   42, 49, 128, 330, 343, 358, 373, 391–93, 483, 543
breathing
   79, 248, 258, 498, 565
bridge
   45, 133, 163, 286, 435, 568
brief
   2, 294, 295, 303, 418, 564
BriefCase
   47
brig
   340
Brigham
   378
Bristol-Myers
   283
British
   28, 542
broadband
   514–16
broadening
   149
broad-ranging
   356
brochure
   211
bromodomain
   273
bronchoscopy
   491
bruising
   162
brush
   438, 504
Buddy
   289, 358, 386
budget
   204, 310, 311, 316
buffer
   278
bugs
   101
bureaucratic
   9
burgeoning
   210
burgers
   364
burnout
   9, 14, 24, 212, 219, 295, 298, 301, 304
burns
   9, 162
bursaries
   210
bus
   217
business
   16, 32, 54, 55, 58, 162, 172, 178–80, 192, 200, 203, 204, 206, 209, 218, 233, 282, 308, 313, 316, 349, 524, 537, 547, 577
busted
   138
butter
   58
button
   429
buy
   58
buyers
   65, 282
buy-in
   242, 395
buzzword
   198, 356, 379
BWH
   378
by-product
   150, 403
bytes
   104, 164

C

CaaS
   564
Cache
   77
CAD
   375, 389, 435, 437, 438, 470
CADD
   271, 331
CAE
   404
caffeine
   65, 279
CAGR
   387
cake
   190
calamities
   313, 438
calcifications
   42, 49
calculus
   101
calibrate
   42, 380, 455
Calico
   359, 541
California
   24, 113, 257, 444
caloric
   454, 556
CAM
   435, 437
Cambridge
   30, 46, 164, 334, 466
camera
   17, 34, 48, 49, 102, 104, 115, 120, 129, 136, 143, 159, 189, 209, 235, 243, 252, 254, 269, 284, 287, 290, 291, 304, 307, 314, 323, 341, 345, 353, 361, 371, 385, 395, 399, 400, 406, 413, 420, 426, 430, 432, 433, 436, 441, 446, 448, 450, 452, 456, 458, 460, 467, 469, 473, 475, 478, 480, 482, 486, 490, 494, 497, 500, 503, 507, 511, 529, 540, 544, 546, 547, 549, 553, 555, 557, 559, 561–63, 565, 580–82
campaigns
   54, 58, 171
Canada
   12, 335, 372, 375, 425, 463, 572
canals
   438, 445
cancer
   12, 13, 22–24, 30, 40, 42, 49, 62, 116, 128, 146, 155, 158, 186, 197, 236, 256, 276, 286, 312, 326, 327, 329–31, 333, 334, 343, 358, 367, 370, 373, 376, 378, 386, 388, 391–93, 397, 418, 431, 432, 435, 439, 442, 457, 469, 473, 480, 483–87, 491, 492, 533, 539, 543, 544, 558, 569, 572
candidates
   71, 72, 192, 260, 261, 270–76, 281, 283, 336
cannulation
   405
Cantab
   46
capabilities
   23, 25, 48, 80, 100, 109, 125–28, 141, 146, 167, 192, 194, 197, 201–3, 205, 209, 212, 226, 234, 235, 242, 264, 265, 276, 285, 287, 296, 299, 300, 304, 309, 312, 314, 342, 347, 378, 383, 389, 398, 412, 417, 422, 428, 498, 500, 518, 519, 527, 528, 543, 546, 564, 573, 577
capacity
   54, 193, 234, 264, 266, 315, 498, 542, 560
capital
   32
CapsNet
   519
capsule
   84, 279, 280, 288, 397, 519
Caption
   424
capture
   2, 9, 48, 128, 157, 226, 330, 359, 387, 403, 415, 416, 448, 454
carbohydrate
   45
carcinoma
   343, 391, 455, 473
cardiac
   21, 38, 128, 149, 374, 377, 405, 421, 423–26, 488, 564, 565
Cardio
   374
CardioArm
   397
Cardio-based
   424
cardiologists
   6, 364, 421, 423–25, 551
cardiology
   21, 37, 192, 283, 344, 421–23, 426, 564
cardiopulmonary
   394
cardiovascular
   12, 13, 23, 38, 39, 42, 283, 343, 373, 421–23, 425, 472
cards
   152
care
   8–16, 18, 21, 25–27, 30–32, 37, 39–45, 47–49, 112, 113, 122, 129, 131–38, 140, 141, 144–47, 150, 153, 155, 174, 177, 180, 193, 219, 234–37, 240, 246, 247, 249, 254–56, 260, 285, 289, 290, 297, 300, 302, 303, 311, 312, 314, 319, 320, 322, 323, 328, 338, 342, 346, 348, 349, 356–58, 375, 376, 378, 380–84, 391, 396, 400, 403, 405, 407, 408, 412, 419, 420, 424, 426, 429, 443, 444, 447, 449–51, 454, 463, 468–70, 475, 481, 484, 485, 488, 489, 500, 504, 514, 516, 528, 529, 533, 535–37, 539, 544, 549–53, 560, 561, 568–71, 577
careful
   62, 117, 155, 158, 160, 200, 225, 226, 235, 314, 521, 574
caregiver
   24, 47
Carekit
   557
careless
   185
CareSage
   565
caretakers
   289, 488
caries
   436, 437, 439, 440
caring
   428, 551
cars
   160, 210, 287, 545–47, 559
cartilage
   443, 496
cartridge
   46
carve
   537
Cary
   465
cascade
   236, 335
cases
   8, 10, 22, 41–43, 45–49, 53, 56, 58, 62, 83, 93, 111, 113, 117, 137, 139, 141, 146, 150, 152, 153, 155–58, 164, 165, 169–71, 176, 180, 181, 183, 185, 196, 198, 200, 201, 203, 204, 209, 211, 218, 220, 221, 223, 228, 232, 234, 236, 239, 242, 243, 250, 253, 258, 262, 263, 266, 267, 276–79, 286, 297, 309, 310, 312, 321, 333, 334, 344, 345, 351, 352, 358, 367, 374, 377, 378, 386, 388, 391, 393, 405, 415, 425, 431, 438, 442, 449, 451, 457, 465, 466, 468, 472, 476, 478, 479, 481, 487, 489, 491, 495, 504, 514, 519, 522, 536, 572, 576
cash
   138, 225
cast
   358, 435
casual
   144
casualty
   405
catalyst
   130, 396
catastrophe
   140, 167, 396, 430
CatBoost
   100
categorical
   19, 63, 68, 93, 148, 149, 182, 239, 248, 262–65, 267, 270, 274, 285, 303, 312, 407, 425, 437, 454, 521, 522, 561
catering
   177, 240, 401, 565
catheter
   383, 421
cats
   506
causative
   390, 463, 520, 561
cautious
   17, 28, 187, 220, 268
CBIR
   431
CDBN
   87
CDC
   258, 289, 534, 551
CDNNs
   332
CDS
   421
CDSS
   437, 533
ceaseless
   137
celerity
   427
cell
   12, 22, 77–81, 119, 147, 162, 239, 261, 263, 264, 328, 329, 331–33, 335, 360, 391, 393, 459, 460, 483, 491
Cella
   239
cell-free
   330
cellular
   37, 202, 270, 272, 329, 332, 337, 388, 390, 514–16
cellulose
   280
censor
   187
CEO
   39, 43, 359, 417, 463, 545
cerebral
   41, 475, 477, 527
CERN
   99
Cerner
   302, 555
certification
   28, 322
cervical
   47, 480
CES
   546
cetyl
   280
CFD
   280
cfDNA
   330
CGM
   556
cha
   258
chain
   86, 102, 165, 524, 526
chairman
   43, 432
channel
   89, 173, 188, 331, 352
characteristics
   2, 25, 65, 105, 122, 140, 147, 157, 183, 282, 319, 333, 335, 342, 378, 382, 471, 519
characterization
   93, 484
chart
   9, 32, 295, 299, 302, 402, 403, 440, 510, 554
chasing
   215
Chat
   22, 54, 91, 166, 258, 282, 313, 314, 321, 334, 335, 338, 417, 419, 495, 534, 535, 551, 571
cHealthcare
   6, 7, 11
check-in
   25, 298
checkpoints
   464
checkups
   262, 286, 287, 289, 306, 348
cheesecake
   364
ChEMBL
   274
chemical
   78, 129, 147, 271, 273–75, 277, 278, 576
chemistry
   270, 279, 281
Chemogenomic
   277
Chen
   277, 280
cherry
   190
Chess
   518, 542
chest
   30, 43, 88, 89, 153, 156, 254, 258, 259, 374, 377, 379, 469, 491, 493, 561, 571, 572
chewing
   139
chief
   10, 30, 124
children
   35, 44, 47, 71, 152, 187, 280, 334, 369, 438, 489, 534, 552, 555
China
   24, 141, 256, 314, 344, 374, 375, 388, 463, 545, 546, 558, 569
chip
   239, 240, 523
Chloroform
   407
chores
   187
Christopher
   444
chronological
   498
chunks
   105, 184, 365, 554
churn
   20, 54, 282
cigarette
   186
Cine
   424
CIOs
   124–26
circles
   231, 254, 555
circulates
   367
circumvent
   391
CIS
   216, 225, 242
cited
   9, 432
cities
   546
citizens
   256, 258, 314, 534, 535
CKD
   506
claims
   13, 14, 29, 137, 141, 207, 233, 234, 308–11, 313, 314, 439, 509
Clara
   126, 558, 559
clarity
   39, 195, 400
Clarke
   50
class
   56, 63–67, 69, 73, 74, 83, 106, 155, 156, 167, 168, 321, 322
classical
   198, 278, 527, 528
classification
   5, 54–57, 59, 60, 63–65, 67–70, 72, 73, 75–77, 88, 91, 97, 100, 103, 104, 149, 153, 154, 156, 157, 168, 192, 258, 259, 264, 272, 275, 276, 322, 328, 330, 331, 378, 382, 389, 392, 393, 401, 402, 488, 491, 496, 519, 520, 522, 524
classroom
   321, 547
cleansing
   198
CLEW
   260
CLI
   76
click-in
   218
clicks
   54
clients
   176, 302, 310, 312–14, 418, 463
climate
   255, 386
clinic
   8, 21, 27, 38, 149, 181, 218, 220, 300, 344, 349, 374, 416, 426, 462, 474, 510, 515, 544, 557
clinical
   10–13, 15, 17, 19–22, 28, 32, 35, 37, 40, 47, 49, 106, 112, 113, 122, 125, 128, 131, 132, 135, 139–41, 144–46, 148–51, 153, 154, 156–59, 178, 185, 191–97, 199, 200, 202–5, 209, 210, 212, 216, 219, 228, 230, 235–38, 240–43, 247, 248, 260, 261, 267, 270, 271, 281, 282, 285, 294, 295, 298, 301, 302, 312, 315, 317, 319, 321, 326–29, 332–35, 337–39, 342, 344, 359, 372–74, 378, 382, 386, 388, 389, 391, 394, 398–400, 405, 408, 419, 421, 422, 425, 426, 430, 431, 433, 435, 437, 439, 443, 444, 450, 454, 456, 459–61, 469, 471, 474, 480, 481, 484–86, 488, 492, 493, 498, 509, 528, 533–37, 539, 555, 564, 570, 577, 582
clinical-grade
   550
clinical-level
   49
clinician
   17, 39, 41–43, 46, 48, 49, 122, 129–33, 135, 139, 141, 144, 145, 147–49, 153, 156, 158, 193, 194, 196, 197, 199, 200, 202, 220, 224, 233, 236, 241, 242, 297, 300, 303, 304, 344, 376, 416, 425, 426, 449, 451, 452, 461, 479, 481, 482, 484, 492, 495–97, 500, 528, 534, 535, 544, 551, 561
clip
   38, 418
clock
   238
closed-loop
   402, 455
cloud
   27, 40, 47, 54, 61, 124, 192, 199, 214, 234, 240, 241, 259, 334, 339, 374, 392, 394, 422, 423, 425, 429, 439, 440, 517, 518, 528, 534, 536, 544–46, 550–52, 555, 559, 572
clue
   514
cluster
   55, 58, 59, 70, 97, 264, 297, 333, 335, 442, 467
CMC
   281
CNLP
   334
CNN
   87, 88, 119, 151, 152, 228, 230, 231, 239, 382, 393, 424, 439, 448, 453, 457, 460, 471, 496, 522, 552
CNVs
   331
coaches
   468, 500
code
   2, 52, 96, 97, 100, 125, 134, 142, 149, 155, 163, 171, 178–80, 182, 187, 260, 302, 327, 337–39, 415, 496, 554
codebook
   72
coded
   13, 186, 302, 495
co-developed
   546
coefficient
   61, 63, 274
coffee
   212, 219, 362, 518
Cog
   44, 337
Cogito
   25
cognition
   5, 19, 46, 182
cognitive
   9, 14, 16, 21, 237, 239, 242, 344, 356, 396, 405, 416, 417, 442, 498, 500, 520
Cognoa
   44
Coherence
   448
coherent
   336, 521
cohesive
   17
cohorts
   246, 281, 384, 496, 536
co-incidence
   278
coining
   308
co-installed
   223
Coli
   240
collaborate
   27, 121, 124, 125, 129, 218, 247–49, 253, 254, 265, 283, 290, 311, 322, 323, 339, 359, 394, 400, 430, 453, 538, 544–46, 556
collapse
   472
collate
   237, 495–97
colleagues
   207, 212, 219, 223, 274, 276, 278, 372, 390, 391, 393, 423, 444, 453, 459, 460, 470, 471, 495, 496, 529
collection
   29, 52, 96, 140, 148, 150, 173, 187, 195, 196, 233, 237, 278, 329, 332, 340, 402, 428, 430, 462, 466, 467, 480, 481, 502, 504, 506, 524
collective
   99, 367, 377, 400
College
   42, 141, 416, 423, 543
collision
   60
collusions
   341
colon
   286, 358
colonies
   523
colonoscopy
   158
color
   84, 417, 432, 437
colorectal
   397
colossal
   267
columns
   53, 103, 104
comb
   10
combat
   24, 135, 183, 185, 260, 262, 265, 268, 281, 553
combinatorial
   270
combing
   548
command
   52, 102, 193, 237, 302, 498, 499
Command-line
   76
Commission
   340
Committee
   422
communication
   7, 9, 25, 37, 44, 99, 106, 127, 169, 177, 214, 216, 233, 235, 242, 246–48, 287, 313, 335, 373, 380, 387, 446, 464, 514, 515, 524–27, 553
community-acquired
   259
co-morbidities
   442, 453
compact
   239, 521
companion
   286, 289, 358, 378, 475
COMPAS
   117, 167
compass
   163
compassion
   140
compatibility
   43, 46, 49, 99, 564
compilation
   294, 295
compile
   23, 97, 101, 135, 138, 394, 429
complacency
   317, 323
complaints
   298, 300, 398, 474
compound
   129, 259, 270–75, 280, 282, 368, 386, 427
compressed
   39, 72, 91, 279, 280
computational
   49, 54, 76, 77, 85, 87, 98, 101, 127, 144, 236, 264, 271, 277, 280, 328, 330, 342, 394, 415, 419, 470, 471, 523, 524, 527, 547, 550
computational-based
   328, 359
computationally
   151, 154, 274
computations
   237, 278, 383, 523
compute
   121, 274, 282, 328, 373, 376, 377, 381, 528
computer-aided
   41, 271, 375, 387, 389, 415, 435, 470
computer-assisted
   40, 49, 375, 445, 487, 520
computer-based
   40, 47, 445
computer-controlled
   283
computer-generated
   183
Concentriq
   330
conceptualization
   398
concordant
   358
concrete
   366, 431
Concreto
   283
concurrent
   49, 223
condemned
   184
condenses
   271
cone-beam
   436
conference
   24, 246, 247, 532
confidence
   29, 30, 42, 49, 210, 519, 524
confidentiality
   158, 185, 299, 306, 446
configuration
   226, 339, 400, 521
confines
   295
confocal
   453
confounding
   367
congenital
   5, 336, 345, 424, 425, 469
Congress
   372
cons
   106, 115, 184
consciousness
   400
consensus
   305, 525
consent
   124, 169–71, 184, 195, 196, 306, 338, 466
conservative
   445
console
   19, 398
consolidate
   121, 126, 196, 215–17, 221, 234, 248, 337, 519
consolidation
   178, 259
Consortium
   388, 426
conspiracy
   201, 514
constellation
   515
constituent
   279
consult
   180, 185, 188, 219, 258, 380, 429
consultancies
   192, 198, 218
consultations
   6, 8, 16, 22, 148, 247, 248, 357, 360, 387, 419, 429, 516, 551
consumers
   2, 6, 24, 28, 39, 337, 362, 514, 544, 548, 557
contact
   8, 180, 207, 238, 254, 260, 263, 285, 420, 535, 561, 582
contactless
   290
content-based
   391, 431
contest
   274, 276
contestant
   276
context
   69, 93, 109, 128, 192, 193, 196, 197, 199, 201, 235, 298, 315, 317, 350, 483, 518
contours
   392
contradicted
   364
contrast
   137, 150, 193, 201, 229, 230, 373
controlled-release
   280
controversies
   516, 543, 576
Conundrum
   16, 158, 168
Conv-CapsNet
   519
conventional
   41, 47, 52, 60, 116, 121, 122, 238, 265, 279, 309, 343, 386, 395, 398, 435, 440, 443
convolutional
   87–91, 119, 146, 151, 192, 228, 239, 274, 330, 382, 393, 403, 424, 437, 439, 448, 453, 457, 460, 496, 519, 522, 552
Convolution-capsule
   519
cool
   211, 212
cooperation
   281, 339, 412
coordinate-based
   278
COPD
   373, 377, 491, 492
cope
   139, 196, 281, 462
cord
   476, 477
core
   90, 100, 195, 196, 215, 230, 271, 273, 339, 351, 446, 475, 498, 545, 546
Corindus
   383
cornea
   453
corner
   11, 90
cornerstone
   152
CoronApp
   260
coronary
   42, 377, 425, 569
coronavirus
   253, 254, 261, 267, 290, 337, 394
Corp
   25, 442
CorPath
   383
corpora
   92
corpus
   152
correctional
   117, 149, 167
Cortana
   183, 201, 362
cortex
   88, 187
cortical
   435
Corvista
   425
cosmetic
   35, 439
cost-effective
   124, 144, 240, 247, 287, 297, 301, 335, 342, 404, 537
COTS
   205
cough
   27
Coulomb
   273
Council
   342
counselors
   334
counter
   409, 429
counterproductive
   351
court
   167
coverage
   230, 314, 514
COVID
   27, 156, 238, 260
COVID-ResNet
   259
COVNet
   259
CPD
   460
CPU
   96, 98
craniofacial
   436, 439
cravings
   549
creatinine
   470
credit
   86, 181
crime
   171, 438
criminal
   166, 167, 170
crippled
   312
crisis
   108, 253, 410, 412, 413, 461, 464
crisp
   230
CRISPR
   336
criteria
   33, 67, 68, 72, 94, 178, 206, 208, 271, 429
cross-check
   220, 221
cross-contamination
   331
cross-validated
   404
crowd
   62, 155, 257, 573
crowdsourced
   154, 432, 550
crowns
   435
crucial
   174, 264, 313, 322, 398, 492, 504, 507, 532
crunching
   192
crushing
   279
cryptographic
   525, 543
CSS
   551, 552
CTM
   539
cues
   25, 551
culled
   431
culminating
   237
culprit
   171
culture
   259, 322, 461
cumbersome
   32, 242, 281
cumulation
   199, 389
cup
   445
Curexo
   445
curriculum
   32, 315, 317–20, 322
cut-and-paste
   223
cutaneous
   497
cuts
   25
cutting-edge
   257
cyberattacks
   338
Cyberball
   416
Cyberknife
   397
cybersecurity
   524, 525
cycle
   58, 198, 215, 218, 234, 236, 270, 316
cystoscopy-led
   473
Cython
   99
cytokine
   497
cytometry
   239, 459
cytomorphology
   460

D

dabbling
   375
DarkNet
   258
DARPA
   287
dashboard
   241
database
   2, 10, 12, 21, 25, 26, 37, 54, 84, 104, 105, 112, 113, 126, 142, 198, 226, 237, 238, 240, 261, 271, 274, 283, 297, 298, 329, 330, 334, 335, 339, 359, 360, 369, 381, 387, 388, 390, 394, 400, 422, 423, 425, 428, 432, 435, 440, 442, 444, 446, 456, 472, 486, 521, 522, 525, 536, 537, 563–65, 572
data-driven
   12, 103, 124, 125, 162, 197, 327, 334, 436, 454, 466, 496, 571
Data-intensive
   101
data-mining
   253
datasets
   30, 58, 67, 70, 74, 92, 93, 95, 105, 124, 127, 134, 135, 143, 144, 150–52, 154, 155, 195, 207, 251, 253, 266, 274, 275, 279, 283, 312, 314, 318, 328, 330, 337, 338, 389, 390, 394, 424, 434, 462, 466, 474, 559
dating
   487
daunting
   203, 332
DaVinci
   30, 288
dawn
   6
DBM
   87
dbMotion
   303
DBN
   87
DBT
   49
DCNN
   330, 331, 403
Deaconess
   239, 415
de-anonymized
   125
debugging
   100
decay
   437
decentralization
   106, 122, 340, 341, 515, 516, 523, 525, 526
deception
   184
deck
   152
decode
   58, 330
decomposition
   59
decrypting
   552
deep-dive
   207
Deepmind
   147, 264, 359, 541–44
DeepT
   274
DeepTox
   275
degeneration
   147, 448, 453, 476, 524, 542, 546
degree
   23, 48, 154, 317, 345, 414, 440, 443, 445, 446
de-identification
   213
delineation
   492, 552
deliverables
   206, 209
DEM
   280
dementia
   41, 46, 408, 571
democratizes
   126
demographic
   10, 104, 112, 128, 164, 240, 256, 294, 422, 425, 444, 449, 470, 535, 560
demolish
   200
dendrites
   77, 78
dengue
   238
de-noising
   87
dense
   42, 88, 91, 198
dental
   434–41
dentist
   434, 435, 437, 439, 440
dentistry
   434–41
dentition
   438
dentofacial
   440
denudes
   200
deployed
   96, 98, 128, 129, 177, 179, 181, 203, 205, 208, 226, 248, 257, 260, 285, 287, 339, 344, 359, 374, 375, 433, 462, 525, 535, 546, 551, 555, 558, 576
depression
   46, 186, 407, 417, 418, 498, 527, 557
derail
   351
De-Risked
   125
dermatologists
   146, 330, 432
dermatology
   88, 137, 192, 431–33
DermEngine’s
   431
dermoscopy
   128
descend
   67
descent
   76, 83, 338
desiccated-cake
   281
desktop
   46
destructive
   163
Dexcom
   556
dexterity
   147, 356, 396, 405
DFT
   279
DGEM
   336
DGX
   558
Diabeloop
   455
diabetes
   23, 45, 46, 48, 106, 112, 370, 442, 447, 448, 453–55, 468, 524, 541, 542, 546
diagram
   96
dialysis
   470–72
diameter
   69
diarrheal
   461
diary
   25, 358
diclofenac
   280
DICOM
   212, 214, 216
dictation
   130, 131, 226
diet
   45, 362–71, 438, 454
dietary
   364, 366–69, 371, 435, 454, 472
diet-borne
   454
diet-plan
   363
differential
   24, 101, 125, 137, 139, 197, 238, 239, 390, 459, 460, 520, 554
dig
   342, 415
digest
   288, 370, 520
Digging
   311
diltiazem
   280
diluent
   279
dimensionality
   55, 87, 97
dimensions
   6, 71, 73, 74, 98, 110, 165, 319, 558
dimethylarginine
   506
disadvantages
   200
disburse
   312
disc
   443, 475
disease-modifying
   496
disease-specific
   240
disinfectant
   288, 289
disjointed
   68
disparate
   147, 148, 217, 388
dispensation
   519
DMARD
   496
DNA
   58, 265, 326, 329–32, 335, 367–69, 410, 553
DNN
   272, 273, 276, 279
DoA
   401, 402
doctor-in-your-pocket
   22
doctor-patient
   11, 14, 140, 248, 305, 319, 446
doctor-to-patient
   349, 568
documentary
   542
documentation
   8, 131, 294, 300, 302, 348, 403, 440
Domingos
   324
doppler
   41, 472
Doraiswamy
   414
dosage
   45, 61, 166, 229, 279, 283, 373, 404, 409, 411, 430, 455, 471, 554
double-edged
   16
downsampling
   90
Down-select
   207
downstream
   153, 250
downtime
   373
Down’s
   338
DreaMed
   46
DreamMapper
   565
drill
   445
drones
   16
drought
   419
drudge
   19
drug-protein
   277
drug-resistant
   335
drug-target
   261, 276
DTI
   261, 276, 277
DuerOS
   545, 546
Duke
   414, 424
dump
   381
Durkheim
   548
Dutch
   344
dye
   22, 229
dynamic
   14, 16, 25, 38, 99, 274, 275, 280, 332, 399, 524
dysfunction
   295
dysplasia
   443, 445

E

early-stage
   24, 336, 483
Earth
   515
eBay
   28
EBM
   113, 114
Ebola
   25, 240, 259, 265, 466, 568
EBOV
   259
ECG
   4, 6, 21, 22, 24, 37–39, 149, 237, 257, 389, 423, 471, 534, 556
echo
   424
echocardiogram
   38, 39, 149, 154, 421, 424
ECoG
   527
ecological
   462, 465, 466, 523
ecosystem
   192, 225, 243, 339, 465
ECR
   372
edema
   496
edge
   65, 84, 89, 90, 181, 193, 526, 528, 529, 533
Edison
   560
EEG
   389, 401, 402, 418, 527
eggs
   362
e-health
   240
EHR
   4, 9, 10, 22, 112, 118, 128, 130, 131, 133, 139, 142, 195, 197, 215–18, 225, 246, 294–301, 303–5, 351, 394, 397, 398, 403, 425, 442, 536, 554
Eindhoven
   20
ejection
   38, 154, 424
EKG
   376
elasticity
   523
eldercare
   249, 286
eLearning
   582
elections
   164
electrocardiograms
   421, 425
electrocorticography
   527
electrode
   527
electroencephalography
   401, 418, 527
electron
   273, 277, 278
elephant
   205
Eli
   338
Eliezer
   292
Elon
   31, 574
ely
   271, 360
embedded
   98, 232, 401, 521, 528, 570
embodied
   428
embolism
   43
embryo
   479, 571
empathy
   14, 140, 446
EMR
   215–18, 242, 294–96, 301, 303, 376, 480, 481, 557
emulate
   148, 417
encephalopathy
   344
encode
   152, 197, 215, 216, 273, 274, 518, 520, 523
encryption
   15, 39, 174, 340, 341, 543
endemic
   399, 460
endocrinologists
   455
endocrinology
   45, 356, 453, 456
endocytosis
   261
endodontic
   438, 441
endodontist
   438
endoscopy
   106, 286–88, 397–99, 457
endotracheal
   561
endpoints
   149, 232, 281, 471, 525
end-stage
   470
end-state
   205
end-to-end
   261, 552
end-user
   17, 28, 29, 31, 33, 241, 334, 392, 518, 554
Enlitic
   373, 374, 378
enrich
   130, 133
ensemble
   74, 75, 275, 276
EnsoSleep
   47
entanglement
   527
entrepreneurs
   252, 582
entropy
   401
entrust
   155
enumerate
   41, 521
envelope
   204
environment
   12, 54, 59, 60, 72, 87, 100, 101, 126, 143, 177, 179, 192–94, 196–99, 203, 210, 214, 215, 219, 226, 265, 267, 274, 275, 315, 319, 322, 323, 332, 334, 342, 367, 369, 399, 403, 426, 461, 489, 516–18, 523, 524, 534, 535, 547, 577
envisage
   264
Epic
   301, 302
epidemic
   156, 238, 267, 427, 428, 430, 438, 462, 463, 465, 548, 568
epidural
   403
epilepsy
   47, 147, 256, 344, 429, 475, 488, 527
episodes
   24, 416
Epistemic
   250
epitomizes
   372
epitope
   264, 265
EPM
   537, 538
Ergonomics
   396
Eric
   364, 432
Erica
   10
erosions
   496
ERP
   178
erythropoiesis-stimulating
   472
esthetics
   435, 438
etiology
   332, 435
Euclidean
   70
Europe
   372, 374, 375, 414
European
   124, 195, 201, 232, 338, 340, 372
evidence-based
   35, 113, 131, 336, 360, 365, 394, 404, 425, 533
Evidentiae
   440
evil
   576
evoke
   416
evolutionary
   58, 71, 332
examinations
   18, 21, 33, 39, 58, 141, 219–21, 228–30, 248, 256, 266, 320, 321, 329, 332, 337, 372, 380, 385, 415, 418, 424, 440, 448, 451, 457, 475, 480, 492, 518–20, 524
excitable
   78
excitation
   83
expert-labeled
   154
explainable
   116, 117, 119, 120, 159, 232, 233, 339
exploited
   164, 188, 196, 347, 466, 495
explore
   98, 109, 179, 192, 253, 261, 264, 305, 327, 337, 342, 363, 491, 510, 538, 541, 558
Explorys
   536–38
extinct
   31
extrapolation
   155, 274, 277, 425, 492
eye
   7, 14, 23, 48, 137, 139, 330, 388, 405, 423, 426, 436, 447, 448, 462, 477, 489, 542–44, 547, 553, 570
eyebrows
   84
Eyecare
   422, 551

F

fabricate
   415, 527
Facebook
   2, 32, 88, 99, 152, 164, 172, 262, 328, 385, 548, 549
face-tagging
   385
face-to-face
   8, 380, 417, 551
facets
   4, 26, 377, 428, 532, 535, 538, 551, 577
failover
   211
fallacy
   306
fallibility
   135, 197, 311
false-negative
   253
fast-moving
   193
fast-paced
   40, 182
fast-track
   577
fatal
   114, 492
fault-tolerant
   523
FCM
   520
fda
   4, 6, 12, 17, 29, 30, 33, 35–49, 194, 195, 212, 240, 242, 260, 271, 281, 336, 338, 372, 374, 421, 429, 439, 447
feature-based
   448
fecal
   158
fed
   33, 85, 117, 139, 197, 297, 381, 384, 508
feedback
   29, 59, 130, 153, 182, 197, 199, 207, 226, 320, 321, 327, 334, 335, 357, 360, 392, 397, 402, 411, 502, 564, 581
feedforward
   83, 87, 402
femur
   481
fertile
   517
fertilization
   479
fetal
   425, 481, 571
fever
   257
FHIR
   557
fiber
   453, 514, 516
fiber-optic
   387, 516
fibrillation
   6, 37, 113, 423, 534, 559
fibrosis
   156, 457, 471, 491
fiduciary
   177
fig
   364
filoviruses
   466
filter
   11, 13, 33, 88, 90, 102, 242, 243, 266, 365, 442, 459, 519
fine-tuning
   145, 152, 360
fingerprint
   272, 274
Finland
   477, 571
firewall
   175
fish
   523, 546
fistula
   472
fit
   61, 62, 70, 93, 112, 194, 211, 297, 439, 501–3
Fitbit
   112, 258, 559
fitness
   6, 9, 71, 72, 104, 107, 170, 174, 501–3, 556
flag
   43, 47, 48, 142, 212, 219–21, 239, 240, 309, 310
flags
   231, 459
flagship
   556
Florida
   257
flow
   12, 41, 83, 142, 183, 195, 223, 224, 239, 280, 309, 374, 381, 401, 424, 444, 459, 499, 518, 555, 560, 565
flowchart
   57, 65, 71, 92, 94
flu
   108
fluoroscopy
   381
FNN
   87
fodder
   199
Fog
   528
follow-up
   26, 148, 260, 360, 436, 499
food
   4, 29, 35, 165, 333, 362, 363, 365–71, 421, 435, 447, 454, 557
foot
   162
Footage
   149
footing
   91
footsteps
   254
foramen
   436, 438
Foray
   4
Forbes
   400
forecast
   5, 54, 56, 57, 237, 254, 262, 266, 282, 358, 382
forensic
   333, 438
forest
   74, 75, 97, 272, 273, 343, 495, 552
fraction
   38, 154, 165, 424
fractures
   41, 374, 438, 445, 572
fragments
   11, 111, 273, 329
framework
   17, 25, 29, 88, 98, 99, 119, 126–29, 180, 182, 193, 194, 204, 205, 207, 212, 218, 224, 225, 242, 261, 267, 277, 299, 301, 315, 318, 319, 420, 471, 537, 551, 553, 557
Framing
   179
Framingham
   13
France
   128, 398, 569
Francisco
   257, 335, 373, 374, 424, 444
Frankenstein
   30
fraudulent
   308–10, 525
free-text
   154, 197
freeze-drying
   281
French
   91, 455, 569
Fronteo
   570
frontier
   178
fungi
   461
fusing
   359
fusion
   444
fuzzy
   283, 402, 517, 520

G

gadget
   164
gadolinium
   229
gall
   398
game-changer
   43, 471
gametocytes
   460
gamification
   154
GAN
   152, 230
gap
   7, 45, 78, 133, 146, 150, 163, 286, 318, 320, 338, 479, 538
Garbage
   318
Garmin
   258
Garuda
   241
GAs
   71, 72
Gastel
   471
gastric
   393, 457
gastritis
   393, 457
gastroenterology
   457
gastrointestinal
   457
Gated
   87
gateway
   241
gauge
   331
Gaussian
   65, 69
gaze
   405, 568
GBM
   99, 273, 330, 470
GCP
   194
GCQ
   521
GDPR
   181, 195, 201
geeks
   144
gene
   5, 12, 43, 149, 283, 335, 336, 342–44, 368, 369, 392, 428, 435, 455, 484, 488, 491, 497, 519
generative
   152, 230, 521
generic
   194, 204, 216
genetic
   12, 22, 26, 58, 71, 149, 186, 198, 254, 270, 279, 326–37, 339, 343, 344, 368, 395, 415, 431, 435, 437, 439, 460, 487, 495, 497, 577
genito-urinary
   393
genome
   12, 54, 239, 264–67, 282, 326, 327, 329–31, 334, 335, 337, 368, 388, 460, 465, 484, 542, 558
genomic
   5, 9, 12, 26, 236, 270, 277, 325–32, 334, 337–40, 343, 356, 389, 390, 395, 400, 410, 444, 455, 484, 550, 552, 559, 569, 570
genotype
   12, 332, 342, 343, 460, 492
geographic
   106, 141, 443, 449
geolocation
   454
geometry
   280
Geras
   571
Geriatrics
   46
German
   91, 571
Germany
   310, 340
germ-free
   288
Gestalt
   338
gestures
   248
giants
   6, 192, 265, 422, 427, 541, 546, 547, 555
GIDEON
   238
gift
   435, 475
gig
   154
gigantic
   315, 343
GIGO
   318
GISAID
   337
gland
   40, 455
glass
   254
glaucoma
   542, 546
GlaxoSmithKline
   283, 427
Gleason
   393, 473
glioblastoma
   201
gliomas
   330
glomeruli
   471
Glow
   557
GLP
   194
glucometers
   6, 9, 237, 454
glucose
   45, 46, 112, 149, 162, 239, 240, 364, 365, 454, 455, 556, 558
glycemic
   46, 364, 365, 454
GMLP
   194
GMP
   194, 281
gold-standard
   144
good-quality
   373
Google
   2, 6, 32, 88, 96, 97, 108, 119, 121, 152, 192, 198, 199, 201, 224, 264, 328, 356, 359, 390, 391, 416, 423, 432, 447, 448, 483, 518, 541–45, 581
gouges
   208
GPS
   47, 107, 263, 400
GPU
   83, 96, 98, 100, 101, 330, 558, 559
GQN
   521
gradient
   62, 72, 76, 77, 83, 99, 100, 122, 273, 274, 470
granulator
   279
granule
   279
grapefruit
   364
graph
   63, 98, 102, 261, 272, 274, 299, 338, 424
graphical
   70, 73, 520–22
graphics
   83, 299
Greek
   62
green
   89, 546
grey
   179, 226
grid
   156
groceries
   65
ground-breaking
   183, 365, 422
ground-truth
   151, 156
GRU
   87
grunt
   375
GRX
   383
Guangdong
   546
guidelines
   135, 164, 177, 186, 187, 194, 195, 218, 232, 340, 345, 367, 422, 425
guidewires
   383
Guilford
   182
guilty-by-association
   275
gullible
   187
gurneys
   289
gut
   364, 365, 369
gynecology
   31, 479–82

H

Hadoop
   76
halicin
   147
HALO
   393, 394
handoff
   9
handover
   386
Hannun
   6
Harte
   443
Harvard
   22, 32, 239, 417, 419
harvest
   558
hash
   341
hashtags
   106
Hawking
   31, 530
hazardous
   283
hazy
   169
HCI
   91
Healint
   358
HealthKit
   557
HealthLake
   555
health-tech
   423
heart
   6, 9, 21, 23, 24, 37–39, 65, 89, 107, 112, 113, 165, 197, 198, 237, 248, 257, 258, 302, 366, 367, 370, 377, 422–26, 450, 454, 471, 489, 534, 559, 565, 569
heartbeats
   258, 469, 559
HeartBit
   534
Hebbian
   72
Hegde
   390
height
   89, 90, 215
helix
   326, 332
hematology
   138, 237, 239, 283, 459, 460
Hemodialysis
   471
hemodynamic
   471
hemorrhage
   42, 43, 380, 476, 478, 572
hepatic
   382, 394
Hepatitis
   465
hereditary
   470
herniation
   475
Hetherington
   403
heuristic
   240
hibernate
   265
high-dimensional
   110, 151, 328, 330, 332, 333
high-impact
   201
high-resolution
   239
Hinton
   519
hip
   443–45
HIPAA
   124, 195, 242, 543, 552, 555
Hippocratic
   181
histology
   22, 128, 137, 138, 237, 239, 329, 330, 390, 393, 459, 491, 572
history-taking
   554
HITECH
   295
HITRUST
   552
HIV
   240, 264, 265, 461, 465
HMM
   343
HNA
   302
holistic
   8, 12, 29, 177, 237, 240, 351, 532
holograms
   404
Hololens
   404, 552
Holy
   345
homicidal
   477
horizon
   308, 389
hormone
   393, 453, 455
hotbeds
   288
hotline
   420
hotspots
   108, 535, 538
Hsiao
   41
Huawei
   545
Humphrey
   448
Hunter
   428
Huron’s
   389
hybrid
   24, 148, 278, 309, 387
hydration
   454
hydrochlorothiazide-containing
   279
hydrogen
   273
hygiene
   255, 287, 435, 439
hype
   209, 234, 517, 524
HyperGraphDB
   521, 522
hyperparameters
   94, 95, 251
hyperplane
   73, 74
hypertension
   112, 425, 468, 472
hypoglycemic
   45
hypotension
   471
hypotheses
   175, 276, 338, 389, 390, 429
hypovolaemic
   153
hysterical
   201

I

IBM
   6, 21, 22, 26, 32, 199, 258, 286, 344, 358, 363, 375, 418, 419, 424, 442, 532–40
iCAD
   42
icing
   190
Icometrics
   41
ICU
   128, 256, 266, 334, 405, 449, 462, 470
idiopathic
   156
idiosyncrasies
   554
Idx
   48
iglu
   454, 455
iHealthcare
   6, 11, 12
Illinois
   416
Illumeo
   564
Illumina
   332
Imagen
   41
immunization
   215, 294, 342
immuno-assays
   240
immunohistochemistry
   387
immunological
   461
immuno-oncology
   283
immunotherapy
   256, 558
immutable
   525
implant
   107, 108, 279, 283, 435–37, 445
implementation
   14, 17, 19, 22, 31, 33, 37, 43, 47, 81, 87, 97, 99, 100, 116, 117, 119, 122, 127, 134, 137, 140–43, 163, 176, 178–80, 182, 191, 192, 199, 200, 208–10, 214, 216–18, 221, 222, 227, 234, 236, 242, 247, 249–52, 281, 302, 311, 314, 318, 322, 330, 334, 345, 346, 348, 349, 353, 371, 375, 385, 386, 391, 394, 400, 418, 426, 430, 434, 449, 451, 456, 457, 470, 477, 479–81, 487–89, 491, 510, 515, 519, 520, 524, 538, 570
implications
   138, 156, 158, 159, 164, 165, 167, 182, 189, 299, 321, 398, 446, 503, 513, 514, 517
inborn
   487
incidental
   351
incisions
   288, 396
India
   358, 374, 375, 379, 422, 535, 551
Indica
   393, 394
infancy
   281, 334, 345, 378, 527
infect
   261
infectious
   10, 22, 25, 27, 132, 238, 239, 253–56, 258–63, 265, 267, 285, 288–90, 301, 332, 337, 338, 397, 399, 405, 459–67, 472, 487, 568
infertility
   479
infiltrates
   254, 414, 460, 564
inflammatory
   236, 393, 497
in-flight
   203
inflow
   251, 350
influenza
   257, 259, 266, 276, 337
informatics
   372, 375, 582
infra-red
   238, 257, 445, 454, 562
inherited
   331, 332
inhibitors
   259, 261, 276
injection
   336
inlays
   435
in-line
   281
InnerEye
   552, 553
InPen
   45
Insilico
   272, 569
Instacart
   98
Instagram
   417
insulin
   45, 46, 149, 454, 455
insurance
   13, 150, 165, 167, 213, 233, 243, 249, 293, 306, 308–14, 344, 560
Intel
   111, 343, 344
IntelliSite
   239
IntelliSpace
   254, 564
intensivists
   405
Internet-of-Medical-Things
   454
interneuron
   78
interstitial
   471
interventions
   6, 15, 16, 25, 138, 139, 147, 256, 260, 262, 309, 310, 312, 339, 345, 357, 358, 380–83, 395, 398, 399, 405, 408, 410, 412, 416, 425, 426, 437, 444, 449, 455, 459, 460, 470–72, 474–76, 496, 528, 535
intervertebral
   378
intestinal
   273, 333, 399
Intouch
   429
intra-cortical
   477
intracranial
   42, 43, 477
intradialytic
   471
Intraoperative
   396, 397, 399, 455
intraoral
   436
intubation
   403, 405
Iodine
   557
IOL
   447
IoMT
   237, 454
iOS
   96, 98, 298, 402, 408, 556, 557
IoT
   54, 104, 107, 112, 113, 193, 198, 262, 515, 528, 534, 545
IPF
   156
IPython
   101
iQiyi
   546
Ira
   39
Ireland-based
   569
iris
   84, 553
Irvine
   113
ischemia
   21, 149, 474, 476, 478
islands
   340
I-SNAKE
   397
Israel
   42, 239, 257, 303, 415, 570
iterative
   55, 60, 62, 102, 122, 153, 217, 270, 556
IVF
   479, 571

J

Jackie
   428
Japan
   286, 290, 414, 542, 570
Jardogs
   303
jargon
   133, 180, 196, 197, 233, 313
Java
   76, 96
Jersey
   17, 22, 310
Joerg
   379
John
   21, 296
Johnson
   283, 427, 541
Jose
   404
Josh
   405
JPC
   389
Jude
   552
Julia
   76
JVM
   76

K

Kaia
   409, 571
Kannan
   471
Kara
   298
Kardia
   37
KardiaMobile
   39
karyotyping
   459
Keiser
   277
Kenneth
   443
KenSci
   553
Kenya
   424
Keras
   98, 100
kernels
   74, 151
Kesavan
   279
Ketogenic
   362
kidney
   303, 470–72, 506, 542
kimono
   225
kinases
   273
Kinect
   552
kinematics
   396, 399
kinetic
   278
Kingdom
   106, 337, 495, 543
kitchens
   370
KLAS
   303
k-means
   58, 97
k-nearest
   59, 60, 70, 72, 273, 343
knee
   308, 443–45
k-NN
   59, 70, 72, 343
knobs
   95
Korea
   4, 256, 372, 414, 571
Kuiper
   515
Kumar
   273
Kumon
   303
Kusunose
   424

L

labeling
   56, 58, 59, 66, 70, 75, 94, 117, 148, 151–55, 157, 159, 231, 237, 294, 305, 367, 517, 522, 543
labor
   8, 131, 187, 226, 239, 373, 391, 393, 404, 405, 459, 543
laboratory
   4, 20, 38, 112, 187, 194, 197, 212, 236–43, 253, 256, 294, 330, 356, 359, 376, 377, 386–89, 392–94, 397, 424, 425, 429, 447, 459, 461, 462, 470, 471, 495, 535, 572
lace
   527
lactate
   240
lacunae
   11, 14
Lagotto
   390, 391
lake
   388
lancet
   46
lancets
   46
laparoscopy
   104
Larry
   356
Laryngoscopy
   403
LDA
   65, 273
leaf
   65–67
LeCun
   88, 190
ledger
   126, 340, 525
Lee
   422, 439, 447, 448
leg
   47, 409
Leibovitz
   477
Lemonaid
   248
lens
   388
lentigo
   432
LEO
   515
Lepu
   38
lesions
   22, 40, 41, 49, 149, 158, 214, 219, 220, 432, 435, 443, 457, 474, 476, 487
leukemias
   459
leukomalacia
   488
levodopa
   240
Leysin
   303
LGG
   330
lifecycle
   29
lifespan
   437, 438, 472
lifestyle
   12, 24, 45, 186, 342, 357, 369, 371, 454, 490
ligaments
   378
ligand
   277
LightGBM
   100
Lilly
   338
Lindbergh
   398
Linux
   96
lipoma
   432
Literome
   337
loci
   344, 497
Lockheed
   294
log
   25, 86, 94, 201, 272–74, 549
London
   28, 192, 400, 443, 542, 543
longevity
   7, 569
low-shot
   522
LRP
   119
LSTMs
   119
Lua
   99
lubricant
   279
Lucid
   41
Ludmerer
   7
LUIS
   551, 552
lumbar
   404, 443, 444
Lumify
   39, 40
lung
   40, 41, 43, 89, 186, 254, 256, 259, 261, 358, 373, 376, 378, 379, 469, 484, 491–93, 561, 564, 569
Lunit
   571
lupus
   495
LVQ
   72, 73
LVS
   274
lymph
   343, 391
lymphocyte
   239
lymphoedema
   399
lymphomas
   459
LYNA
   391

M

Maastricht
   20
macular
   147, 448, 524, 542, 546
magnesium
   280
magnetic
   316, 373, 381
Mako
   444
malaria
   238, 240, 335, 459–61
malfunctions
   31
malicious
   16, 176, 218
malignant
   49, 155, 283, 343, 431, 432, 460, 491
malpractice
   11, 31, 174, 403
mammography
   42, 210, 373, 377, 483
mammoth
   418
mapping
   12, 56, 69, 223, 255, 399, 444, 488, 520, 553
map-reading
   201
Martin
   393
Massachusetts
   10, 21, 30, 378
matplotlib
   101, 102
matrix
   9, 11, 83, 88–90, 97, 101, 156, 273, 280
Maverick
   240
maxillary
   437
maxillofacial
   436, 441
MaxQ
   43
Mayo
   426, 544
maze
   521
McCarthy
   296
McKinsey
   12, 313
McSleepy
   30
MCT
   38
MDA
   471
MDS
   460
MDSS
   520
Mediktor
   571
Medineering
   287
Medisafe
   557
MEDITECH
   302
Medopad
   568
MedStar
   297
Medtronic
   45, 401
melanoma
   128, 155, 330, 432
melding
   526
Melloddy
   129
Merck
   283, 427
Mercy
   536
mesh
   107
meta-analysis
   372
Metabiodata
   262
metabolism
   112, 367, 370, 401, 487
metabolomics
   328, 368, 369
metadata
   142, 213–16, 221, 229, 391, 394, 416, 417, 559
metal
   230
metastatic
   220, 330, 376, 391, 491, 544
MFDS
   571
MGH
   378
MICA
   423
Michael
   30
Michalski
   378
Michiel
   417
microarrays
   387, 393
microbiology
   237–39, 307, 333
microbiome
   327, 329, 333, 364, 365, 367, 369
micro-bot
   397
Microchip
   283
microcrystalline
   280
microemulsion
   280
micro-expressions
   408
microfluidic
   239, 240
Micromedex
   533
micrometastases
   391
microorganisms
   238, 288
micro-robots
   286
microscopy
   22, 137, 239, 387, 388, 391, 392, 399, 453, 461, 480, 483
Microsoft
   99, 112, 166, 258, 328, 403, 404, 422, 550–53
micro-stimulation
   527
microsurgeries
   20, 286, 399
midwives
   14
migraines
   358
MIIS
   302
mimicry
   16
mind-body
   409
mindLAMP
   415
MindMotion
   48
Minneapolis
   424
mitotic
   393
ML-based
   29, 257, 278
MLP
   87
MMP
   273, 274
MNIST
   98
modeling
   5, 54, 65, 66, 69, 86, 93, 149, 237, 276, 280, 327, 333, 399, 442
models
   2, 5, 10, 23, 29, 30, 32, 54, 62, 73–78, 91, 94, 95, 98, 100, 102, 106, 112, 116, 118, 119, 121, 122, 124–29, 137, 139, 140, 142, 143, 147, 165–68, 175, 176, 188, 189, 196, 217, 230–32, 236, 247, 249–51, 259, 264–68, 270, 273, 274, 276, 278, 280, 297, 298, 301, 302, 317, 318, 320, 322, 323, 328, 333, 338, 339, 383, 387, 393, 397, 427, 438, 441, 448, 454, 464–67, 470, 472, 487, 491, 493, 519, 522, 526, 536, 545, 548, 554, 555, 558, 559
moisture
   280
Moitto
   118
molars
   437
molecular
   12, 25, 147, 149, 239, 259, 261, 270–78, 282, 327, 329, 332, 333, 387, 393, 395, 455, 460, 528, 576
moles
   22
Molly
   26
MongoDB
   105
monolithic
   99, 214
monopoly
   313
monotonous
   143
Montefiore
   477
Montreal
   30
Moorfields
   542, 543
Morgan
   532
Morpheo
   24
Moshe
   375
MPS
   410
MRCGP
   141
mRhythm
   38
MRI
   12, 21, 40, 41, 104, 106, 124, 137, 143, 149, 216, 220, 228–30, 316, 357, 372–74, 378, 380, 381, 389, 418, 436, 443, 470, 476, 478, 491, 496, 543, 560, 562, 572, 573
mRNA
   265, 546
MSE
   95
MSK
   409, 410
MT-DTI
   261
MUHC
   30
multi-class
   63, 73
multi-omics
   326, 328, 330, 332, 334, 339
Mumbai-based
   572
MUMPS
   302
mundane
   14, 348, 356
Murali
   414
muscles
   27, 40, 80, 409, 424, 442, 444, 477, 489, 501
music
   54
Musk
   31, 574
mutations
   26, 71, 109, 264, 265, 267, 268, 332, 336, 344, 465, 484, 491, 542
MuZero
   542
MyCode
   335
myelodysplastic
   459, 460
myeloid
   459
myeloma
   128
MyRecovery
   443, 444
MySQL
   104, 105

N

Nagata
   460
Nagpal
   393
Naïve-Bayes
   60, 69, 276, 343
nanorobots
   283
Narcotics
   407
NASA
   99
NCCC
   422
NCI-funded
   484
NDD
   344
N-dimensional
   73
nearest-neighbor
   272
neck
   439, 543
neighbor
   59, 60, 70, 72, 273, 343
neoplasms
   356, 379, 393, 459, 491
nephrologists
   472
nephrology
   470, 473
nerve
   78–81, 453
nervous
   193, 409, 522, 527, 528
Netflix
   2, 98
Netherlands
   26, 399, 432
NeuralBot
   41
Neuralink
   527
neuraminidase
   276
neuroblastoma
   487
neurocognitive
   414, 416
neurodegenerative
   12, 335, 476
neurodevelopmental
   336, 344, 345
neuro-engineering
   527
neuroimaging
   415, 419
Neurologica
   43
neurological
   24, 47, 48, 316, 343, 474, 475, 478, 488, 527, 564
Neuromedical
   22
NeuroMetrix
   409
neuromorphic
   522, 523
neuromuscular
   335, 402
neurons
   77–81, 83, 85, 86, 90, 119, 476, 478, 519, 523
Neuro-oncology
   476
neurophysiological
   527
neuroplasticity
   376
neuroprosthetic
   527
neuroscience
   52, 478
neurosurgery
   396, 474, 475, 478
neurovascular
   444, 476
neutrophil
   239
newborn
   334
NIH
   12, 338
Nikon
   541
NIMH
   414
Nitrous
   407
NLP
   5, 91–93, 99, 130–36, 152, 196, 197, 233, 253, 261, 262, 268, 300, 302, 388, 397, 419, 425, 426, 480
Nociception
   404
node
   65–68, 78, 81–84, 86, 121, 280, 343, 391
nodules
   40, 41, 344, 376, 378–80, 491, 492, 561, 564, 571
Northwestern
   424
NoSQL
   105
Novartis
   283
NSCLC
   491
nucleotide
   331, 333
nucleus
   277, 558
Numba
   99
Numpy
   97, 98, 100, 101
Nuritas
   569
nurses
   14, 26, 114, 153, 238, 289, 290, 302, 319, 321, 348, 401, 498–500, 510, 542, 551
nutraceuticals
   336
nutrients
   368
nutrigenomic
   368
nutrition
   362, 364–71, 454, 472
nuts
   364
Nvidia
   126, 378, 546, 558, 559

O

Obama
   244
obesity
   402, 468, 489
object-oriented
   522
obstetrics
   479–82
occult
   158
OCED
   339
OCTO
   394
ocular
   546
oculomotor
   48
Oculus
   404
odometry
   399
odontology
   438
OECD
   308, 311, 339
offender
   117, 167
off-target
   336, 568
off-the-shelf
   203
Ohio
   536
oil
   272
omics
   332, 333
oncology
   49, 128, 192, 231, 236, 283, 334, 343, 344, 358, 392, 393, 483–86, 488, 564, 572
Onco-Pathology
   392
on-demand
   429
one-drug-fits-all
   342
one-size-fits-all
   12, 155
one-solution-fits-all
   444
OneWeb
   515
onlays
   435
on-site
   452
ontologies
   522
opacities
   116, 254
OpenAI
   119
open-source
   77, 96–100, 128, 162, 192, 198, 253, 275, 332, 337, 341, 415, 517, 521, 547, 558
operator-dependent
   561
ophthalmology
   48, 88, 192, 447, 448, 543, 547
ophylline
   280
opiate
   412
opioid
   44, 407, 409–13
optical
   392, 448, 516
optimize
   21, 42, 44, 46, 62, 67, 71, 72, 77, 83, 99–101, 129, 138, 168, 173, 174, 187, 228, 229, 233, 265, 270, 274, 279–81, 283, 352, 376, 408, 430, 437, 489, 524, 526, 543, 546
optometrists
   447, 543
Optos
   541
Optum
   112
oral
   84, 274, 279, 280, 434–36, 439
Orange
   555
Orbit
   515
Oregon
   265, 546
organism
   72, 265, 333, 461
organ-matching
   472
organs
   80, 104, 231, 240, 379, 394, 480, 492, 562
orientation
   73
orthodontic
   436, 438, 441
orthopedics
   41, 48, 88, 149, 442–46, 564
Orthy
   439
Osaka
   316
osteoarthritis
   442, 443, 495
OsteoDetect
   41
ostracism
   417
Oura-sponsored
   257
outbreaks
   238, 262, 268, 428, 462, 463, 465, 467
outcomes
   12, 16, 21, 38, 41, 42, 47, 49, 59, 66, 113, 114, 129, 131–36, 139, 149, 167, 168, 193, 198, 199, 203, 206, 209, 221, 234, 247, 250, 256, 257, 267, 283, 297–301, 303–5, 309, 316, 319, 328, 330, 333, 338, 344, 359, 367, 381–84, 390, 391, 395, 397, 399, 421, 422, 425, 426, 434, 436, 440, 443–45, 449, 455, 474, 476, 477, 485, 492, 519, 528, 536, 538, 549, 550, 570
outfitted
   529
outliers
   65
outline
   29, 305, 326
outpatient
   8, 44, 148, 462
output
   56, 61, 63, 64, 66, 67, 70, 71, 74, 75, 77, 79, 81–84, 86, 87, 89, 90, 116, 119, 147, 156, 159, 195, 199, 201, 206, 211, 213, 221, 226, 280, 298, 316, 317, 320, 329, 338, 343, 472, 475, 519, 564
outsource
   155, 236
over-adaptation
   68
overfitting
   62, 85
overlays
   392, 432, 517
Over-regulation
   178, 182
Owkin
   126, 569
oxalate
   366
Oxford
   21
oxide
   407
oximeters
   6, 9, 237
oxygen
   257, 450, 556

P

pacemakers
   108
Pacific
   387
PACS
   214, 216–18, 223–26, 373, 376
PaddlePaddle
   547
Paige
   49
PainChek
   408
painkillers
   409–13
Paleo
   362
Palindromic
   335
pancreas
   455, 457
pancreatitis
   457
Pandas
   101, 102
pandemic
   8, 27, 30, 62, 113, 163, 192, 238, 253–55, 257, 259, 260, 262, 263, 265–68, 285, 287, 288, 327, 337, 356, 357, 374, 394, 414, 419, 461, 516, 536, 551, 556
Pandora's
   9, 28
panoramic
   437
Pap
   22, 480
Parallelization
   77
paralysis
   477, 527
parameters
   13, 21, 55, 94, 95, 111, 112, 122, 126, 213, 240, 273, 274, 342, 357, 401, 438, 440, 449, 451, 460, 471, 477, 571
parasite
   460, 461
parenchyma
   259, 379
parent
   44, 359, 432, 541
Paris
   111
parking
   28
Parkinson's
   48, 240, 476, 527
Parsa
   141
parsing
   310
particles
   198, 277, 280, 527
partition
   67, 231, 443
pathogens
   263, 265, 266, 329, 386, 465, 466, 496
pathology
   5, 13, 22, 42, 43, 49, 88, 137, 192, 236, 237, 239–43, 253, 320, 328, 330, 332, 376, 377, 386–95, 415, 434, 443, 445, 457, 459, 477, 480, 482, 484, 569, 571, 572
pathways
   55, 79, 174, 183, 320, 376, 392, 442, 456, 496
patient-centered
   29, 140, 319, 323, 334
Patient-generated
   423
patient-reported
   131
Patrick
   439
Paul
   17
pay-as-you-use
   518
pediatrics
   44, 334, 344, 375, 438, 487–90
Pedro
   324
peer-to-peer
   99, 121
pelvic
   480
pen
   45
Pennsylvania
   311
peptides
   276, 558, 569
perceptron
   87
perfusion
   424, 477
periodontal
   437
periodontitis
   437
peritoneal
   472
personalized
   5, 12, 54, 147, 166, 235, 236, 240, 305, 312, 315, 320, 328, 331, 341, 342, 356, 357, 359, 360, 364, 365, 369–71, 390, 411, 429, 431, 432, 438, 444, 448, 455, 495, 497, 532, 535–37, 570
Perthera’s
   334
PET
   143, 216, 229
Peter
   422
Pfizer
   283
PGI
   302
pharmaceutical
   6, 129, 270, 271, 279, 280, 282, 283, 335–37, 427, 484, 538, 539, 541, 569, 570, 577
pharmacogenomics
   330, 428
pharmacokinetic
   270, 280
pharmacological
   138, 184, 275, 277, 404, 427
pharmacophore
   276
pharmacy
   377, 403, 427–30
PhD
   10
phenotypic
   9, 328, 332, 334, 343, 415, 460, 495
PHI
   242, 555
Philips
   39, 224, 254, 337, 564, 565
phlebotomy
   237, 238
PHM
   131
photosynthesis
   432
PhysiQ
   37
Pickhardt
   13
PillCam
   397
pilots
   29
pipetted
   150
pitfalls
   28, 145, 267
pituitary
   455
pivoted
   217
pixel
   89, 90, 214, 216, 375, 392
plague
   553, 576
planet
   114, 308, 388, 515
plant
   279, 367
Plastic
   138
platelets
   239
platform
   13, 96, 98, 126, 154, 171–74, 177, 192–94, 196, 199, 203, 209, 212–19, 221, 223–26, 237, 241, 283, 302, 310–12, 330, 335, 337, 340, 349, 369, 379, 400, 403, 404, 410, 419, 422, 425, 463, 486, 515, 534, 536, 538, 541, 545–47, 549, 553, 555, 557–59
plug-and-play
   152, 155
pneumonia
   153, 156, 254, 256, 259, 461, 488, 491, 561, 564
pneumothorax
   43, 491
PoC
   205, 208
Pocket
   24
Pogo
   46
point-of-care
   425, 454
polar
   273
policies
   59, 128, 130, 131, 135, 176–78, 182, 312, 313, 327, 338, 339, 341, 375, 464, 499
Polycystic
   470
Polygenic
   326, 333
polymorphisms
   331, 333
polynomial
   61–63, 86
polypharmacology
   568
polyps
   457
Polytechnic
   256
polyvinylpyrrolidone
   280
portal
   40, 254, 535, 557, 564, 565
PostgreSQL
   104
post-operative
   135, 396–99, 404, 405, 413, 443, 444
post-procedure
   357, 398, 476
post-processing
   67, 224, 230
posture
   149, 562
potency
   568
potent
   276
potion
   569
pounds
   268
PoV
   208
powder
   280
PPIs
   263, 264
PPV
   157, 158
Pradesh
   535
precision
   5, 12, 15, 20, 26, 30, 38, 41, 157, 158, 235, 236, 254, 266, 267, 286, 288, 322, 325, 334, 336, 342–45, 383, 392, 418, 440, 443, 444, 454, 460, 478, 484, 495, 497, 550, 559, 577
preclinical
   24, 270, 271, 274, 282
Predible
   379
prefrontal
   187
pregnant
   479, 480, 557, 571
Pre-implantation
   149
prejudices
   117
premature
   487
premolars
   435, 437, 438
pre-processing
   104
prescription
   26, 27, 39, 45, 104, 110, 141, 142, 196, 256, 294, 297, 299, 300, 335, 359, 360, 407, 410–12, 414, 471, 496, 510, 554, 557
preventive
   6, 23, 24, 38, 45, 118, 124, 146, 163, 165, 176, 180, 240, 256, 258, 261, 265, 282, 290, 304, 307, 311, 323, 342, 343, 350, 356–58, 360, 370, 394, 404, 405, 415, 422, 430, 431, 437, 454, 461–67, 476, 477, 504, 517, 535, 544, 548, 562
Primate
   332
PRMC
   533
PrOCTOR
   275
progeny
   331
Prognica
   572
Prognos
   312
proof
   200, 205, 208
propagation
   62, 119
propofol
   401
Proscia
   330
prostate
   49, 392, 472
prostatectomy
   393
prosthesis
   435, 445, 527
prosthodontics
   437
protein
   129, 150, 261, 263, 264, 266, 272, 273, 275–78, 343, 359, 392, 539, 542
proteomes
   368
proteomic
   12, 270, 328, 368
protocols
   108, 135, 137, 228, 229, 231, 240, 243, 341, 345, 427, 437, 438, 515, 525
prototype
   72, 114, 347, 352, 398
psoriasis
   497
psychiatry
   44, 192, 414–20
psychological
   52, 65, 182, 186, 187, 408, 409, 414, 417–19, 550
PubChem
   274
Publiek
   26, 344
PubMed
   337
pulmonary
   43, 156, 254, 425, 491–93, 564
pulmonologists
   492, 493
pulmonology
   491–93, 564
PUMA
   397
puncture
   404
pundits
   514
puzzle
   31
pylori
   393
python
   76, 96–102
PyTorch
   99, 152

Q

QbCheck
   44
qER
   572
QoS
   515, 516
qQuant
   573
QSAR
   273, 276
Qualcomm
   545
quantum
   278, 279, 527, 528
quarantine
   253, 256, 263, 290
quell
   409, 427
queries
   258, 499, 521, 524, 534, 535, 546, 551
quintillion
   104, 164
Qure
   572
Qventus
   266
qXR
   572

R

Radcliffe
   21
radiation
   35, 169, 229, 348, 373, 383, 397, 562
radiographs
   22, 32, 88, 141, 153, 434, 436, 437, 444, 445, 491, 558, 572
radiologists
   13, 15, 24, 32, 40–43, 47, 49, 126, 141, 153, 210–12, 214, 219–21, 223, 224, 226, 228–31, 233, 235, 254, 256, 259, 330, 372–85, 423, 443, 481, 561, 563, 564, 570, 582
radiology
   5, 13, 15, 21, 32, 39–42, 47, 88, 138, 139, 148, 149, 210, 211, 213, 215, 216, 218, 221, 222, 225–29, 231–35, 258, 316, 320, 344, 356, 372–81, 385, 395, 397, 415, 418, 434, 436, 441, 457, 470, 473, 488, 495, 519, 552, 553, 558, 561, 571
radiomics
   231, 375, 491, 552
radiosurgery
   397
radiotherapy
   544, 552
RADLogics
   374, 375, 379
Rady
   334
Rajaraman
   460
randomized
   131, 347, 366
RBM
   519
RBM-CapsNet
   519
RCGP
   141
RCIGM
   334
RCNN
   87
reagents
   239
receptor
   276
Recht
   15
recombination
   71
rectal
   358
recursive
   67, 87
Registry
   537
regression
   22, 55, 60–65, 70, 75, 77, 97, 100, 343
rehabilitation
   48, 411
reinforcement
   45, 57, 59, 60, 99, 188, 190, 399, 411, 455, 518, 521, 525, 542
rejuvenate
   370
relapse
   411, 416, 549
renal
   394, 470, 473, 506
Rensselaer
   256
reservoir
   265
ReSET-O
   44, 45
ResNet
   98
respiratory
   237, 253, 256, 260, 267, 403, 450, 489, 491, 492, 536, 569
Respironics
   565
retinal
   23, 48, 423, 447, 448, 453, 524, 543, 569
retinopathy
   23, 48, 447, 448, 453, 524, 541, 542, 546
retrofitted
   203, 372, 392
retrosynthesis
   273
Rezazade
   372
RGB
   89
RHD
   424
rheumatic
   424
rheumatoid
   495, 496
rheumatologists
   495
rheumatology
   495, 497
Rho
   248
rhythm
   37–39, 113, 257, 489, 559
ribs
   89
Riccardo
   118
rifamycin
   280
Riken-SRK
   290
Rima
   424
ripple
   482, 569
RIS
   215–18, 224, 225, 373
RNN
   87, 151
Robodoc
   444, 445
robotaxi
   546
robots
   2, 5, 12, 18–20, 28, 30–32, 41, 60, 137, 140, 141, 143, 238, 245, 247–49, 283, 285–91, 323, 356, 383, 387, 396–99, 404, 436, 442, 444, 445, 475, 480, 489, 499, 501, 508, 515, 516, 526, 527, 541, 547
Roche
   283
Rochester
   265, 546
rocket
   203
Rocksloh
   279
rodents
   466
RPA
   141, 142
RPM
   260
RSNA
   372
runtime
   322
rural
   460, 515, 529
Russian
   92, 374, 569
Rutgers
   17, 238
RWE
   174

S

SaaS
   543
SADs
   496
SaMD
   29, 194, 242
Samsung
   6, 112
Samuel
   52
Sanger
   337
Sanofi
   283
Saragnese
   43
SARS
   463
satellite
   200, 210, 287, 515, 516
Sathe
   280
Sat-Nav
   201
SBRT
   397
SCADA
   197
Scala
   76
schizonts
   460
schizophrenia
   418
Schmidt
   432
Schrödinger’s
   278
scikit-learn
   97, 100
SciPy
   97, 100, 101
sclerosis
   41, 476
Scotland-based
   569
Scripps
   258, 559
SDAE
   87
SDK
   557, 558
SDMA
   506
Seattle
   21, 547
seismic
   558
seizures
   47, 487
self-driving
   2, 353, 545, 546, 559
self-organizing
   72, 87, 523
semantic
   521
semi-quantitative
   424
semi-supervised
   59
Sensei
   410
Sensely
   26
SEO
   543
Seoul
   464
sepsis
   149, 153, 301, 344, 449
sequencing
   265, 266, 326, 327, 329–31, 334, 337, 344, 460, 484, 558
serum
   238, 240, 470
server
   54, 121, 122, 124, 127, 150, 214, 226, 242, 302, 306, 378, 455, 546
sevoflurane
   402
Shalbaf
   401
Shamai
   393
SharePoint
   553
Sheng
   459
Shenoy
   10
Shieh
   402
shingles
   147
shins
   153
shoehorn
   145
Shogi
   542
shoulder
   89, 445
Siemens
   224, 379, 383, 424, 562, 563
Sieve
   21, 344
silico
   270, 273
silicon
   50, 240, 374, 442, 547
silos
   17, 339, 340, 510, 550
Singapore
   260, 570
sinusitis
   437
Siri
   2, 183, 201, 362, 518, 545
Sjogren’s
   437, 495, 496
skin
   22, 49, 146, 149, 155, 162, 333, 431, 432, 469, 572
skincare
   431, 432
SkinVision
   22, 432
sklearn
   97
skull
   572
SLAM
   399
slang
   554
slash
   289
sleep
   24, 33, 47, 107, 112, 137, 257, 258, 369, 454, 489, 549, 556, 565
slip
   310
Sloan
   533
slogan
   340
smear
   22, 459, 460, 480, 518
smell
   27
smile
   272, 390, 439
smoking
   186, 215, 423, 435, 491
Snap
   454
Snapdragon
   545
software-as-a-service
   543
somatic
   331, 491
sonographers
   424, 481
sonography
   40, 496
SpaceX
   515
Spain
   515
spam
   54, 442
spectrometry
   455
spectroscopy
   454
Speech-to-text
   93, 131
SPHN
   342
spike
   364, 365
spine
   47, 444, 475–77
Spritam
   429
SqueezeNet
   98
Squibb
   283
SRS
   397
Stacked
   87
standardized
   16, 29, 178, 181, 224, 233, 239, 241, 330, 352, 443, 457, 481, 555
Stanford
   418, 424
starling
   523
Starlink
   515
Steiner
   391
Stephen
   31, 530
stereotactic
   396, 397
stereotyped
   154
stethoscope
   19, 104, 140
Stevie
   249
stimuli
   179, 547
stochastic
   83
stoma
   330
stool
   364
Strasbourg
   398
strawberries
   364
Stuart
   512
stump
   75
subretinal
   336
superspreaders
   256
supervised
   56, 57, 59, 60, 72, 151, 152, 190, 332
surgeons
   19, 20, 31, 32, 153, 200, 288, 321, 322, 357, 379, 396–98, 400, 402, 426, 443, 444, 504, 505, 516, 517, 541
surgery
   5, 19, 20, 30–32, 108, 135, 137, 138, 140, 147, 149, 169, 285–88, 316, 322, 323, 381, 387, 395–405, 407, 435, 436, 442–45, 447, 472, 474, 475, 480, 488, 499, 505, 506, 515–17, 527, 541, 552
suture
   399
SVM
   73, 74, 97, 265, 272, 273, 343
swarm
   377, 379, 523, 524
Sweden
   192, 445, 571
Switzerland
   48, 303, 342
Syed-Abdul
   460
Sylvan
   443
sympathy
   140
SymPy
   101
synapse
   78
syndrome
   112, 253, 256, 267, 336, 338, 437, 459, 460, 495, 496

T

tablet
   46, 84, 107, 279, 280
tacrolimus
   472
Taipei
   464
Taiwanese
   148
target
   12, 16, 56, 57, 59–61, 108, 207, 211, 217, 220, 223, 236, 237, 240, 261, 264, 270–72, 274–77, 282, 301, 329, 330, 335, 336, 372, 373, 402, 453, 495, 532, 537, 550, 552, 558, 576
TargeTox
   275
taxonomies
   522
Tay
   166, 167
TBNNs
   69
TCGA
   330
teeth
   436, 438
Tele-assisted
   515
teleconsultation
   516
telehealth
   8, 9, 245–52, 357, 429
TeleICU
   260
telemedicine
   250, 303, 515, 516, 529
telemetry
   38, 516
telepathology
   459
telepresence
   247, 248
telesurgery
   398, 516
Telugu
   535
Temple
   311
temporal
   41, 333, 397
temporally
   151
temporomandibular
   436
Tempus
   12
Tencent
   328, 545
tenosynovitis
   496
Tensorflow
   96–99, 101, 119, 152, 331
Tesla's
   2
Tess
   417, 419
Thailand
   257
Theano
   98, 101
three-dimensional
   49, 104, 264, 271, 425
three-pronged
   562
Tiantan
   24, 141
TidalHealth
   533
TKV
   470, 471
tobacco
   312, 435
Tokyo
   464
tomography
   373, 376, 377, 381, 425, 448
tomosynthesis
   49
toolkit
   126
toothaches
   437, 438
toothbrush
   438
Torch
   99
Toronto
   22, 410, 425
toxicology
   274
toxicophoric
   274
TPLC
   29
TPU
   96, 98
tracheal
   405
transcriptomics
   328
transducer
   40, 41
transformer
   151, 152, 154
transfusions
   169, 472
transistor
   78
Translational
   258
trauma
   193, 220, 221, 404, 475, 572
Tree-Based
   69
triage
   40, 42, 43, 47, 147, 255, 451, 572
trials
   35, 113, 117, 131, 148, 149, 238, 270, 275, 281, 282, 335, 344, 347, 359, 366, 394, 399, 484, 539
tRNA
   368
t-SNE
   110
tube-like
   77
tuberculosis
   280, 335, 462, 465, 491, 561
TUHS
   311
tumor
   22, 24, 41, 62, 128, 137, 231, 283, 321, 329, 330, 334, 358, 379, 392, 397, 436, 442, 455, 475, 476, 478, 484, 491, 492, 544, 552
Turkoglu
   279

U

UAE-based
   572
Uber
   98
UCLH
   543
UCSF
   257, 444
UK-based
   46, 283, 337, 568
UKRI
   388
ulcer
   153, 162, 435, 457
ultrasound
   21, 39–41, 149, 216, 238, 373, 381, 382, 403, 443, 480, 544
unicorns
   193
urolithiasis
   472
urologist
   30
urology
   470, 473
USA
   10, 12, 13, 17, 197, 302, 303, 312, 330, 334, 398, 401, 415, 424, 568
USC
   464
uterus
   571
utopia
   11

V

vaccine
   147, 169, 196, 202, 259, 264, 265, 267, 337, 394, 465, 546, 549
vasculopathy
   496
vasopressor
   149
vasospasm
   475
VBC
   131
VCAR
   259
vector
   60, 68, 72–74, 265, 272, 274, 276, 343, 487, 488
vegetable
   364
vehicles
   2, 60, 442, 546
velocity
   41, 315
vendors
   204, 207, 208, 214, 218, 224, 225, 229, 296, 301–3
ventilators
   266, 450
ventricle
   39, 154, 374, 424
Verily
   39, 359, 423, 541
Vermont
   417
vertebral
   403, 404
veterans
   548
veterinary
   504–6, 533
vetting
   28
VGG
   98
Vinci
   19, 397
ViosWorks
   374, 424
virulence
   113, 461
virus
   25, 109, 113, 254, 255, 259, 261–67, 288, 290, 337, 359, 394, 461, 463–65, 542, 568
visa
   210
vision
   10, 17, 42, 43, 48, 88, 91, 99, 155, 239, 240, 248, 397, 398, 400, 431, 432, 447, 448, 519, 524, 525, 547
Viterbi
   464
VNA
   214, 225
VoxelCloud
   569
VPs
   321

W

Waikato
   403
Walgreens
   551
Waqaas
   359
warts
   150
Watson
   22, 26, 258, 286, 358, 375, 418, 424, 442, 532–40
waveforms
   404
WBC
   239
wearables
   6, 9, 24, 47, 104, 107, 112, 113, 149, 237, 257, 357, 359, 404, 412, 423, 454, 468, 471, 489, 528, 534, 550, 559, 568–70
webcam
   26, 360
web-crawling
   20
webserver
   265
Wei
   444, 471
weights
   61–63, 71, 75, 76, 81–84, 100, 113, 119, 200, 201, 215, 272, 370, 430, 472, 524
Weissler
   426
Weizmann
   364
WEKA
   403
WGS
   265
Whole-Genome
   265
whole-grain
   367
whole-wheat
   364
Wi-Fi
   248, 360
Williams
   453
Windows
   96
wingman
   577
winner-take-all
   72
Woebot
   417, 419
workflow
   15, 41–43, 94, 121, 123, 132, 133, 192–94, 197, 198, 200, 203–6, 208–12, 214–29, 235–37, 243, 249, 276, 300, 314, 329, 347, 348, 360, 372, 373, 376, 379, 382, 386, 387, 392, 395–97, 405, 418, 424, 429, 430, 440, 535, 558, 559
wrist
   41, 47, 396, 443
WSI
   387, 389, 390, 392, 393
Wuhan
   464

X

XAI
   116–20
Xeon
   344
XGBoost
   76, 100, 558
Xiadou
   546
Xiaomi
   545
x-rays
   4, 21, 41, 43, 89, 103, 106, 111, 137, 142, 143, 149, 216, 258, 372–74, 376, 378–81, 439, 440, 469, 491, 496, 543, 560–62, 571, 572
XWorld
   547

Y

Yahoo
   198
Yamanishi
   277
Yan
   190
Yanhong
   545
Yelp
   98
YOLO
   258
YouTube
   56, 58, 202
Yudkowsky
   292
y-value
   62

Z

Zebra
   13, 42, 43
Zeus
   397
ZhongAn
   314
Zhongnan
   256
Zhou
   495
ZigBee
   108
Zimmerman
   470
Zocdoc
   98
zoonotic
   265, 266, 465
Zorgprisma
   26, 344
Zuckerberg
   160
Zupancic
   280

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References / Further Reading - AI in Healthcare - Academic & General Editions 2022

  REFERENCES - ACADEMIC EDITION 2022

 REFERENCES - GENERAL EDITION 2022

REFERENCES - ACADEMIC EDITION 2022

SECTION 1: ARTIFICIAL INTELLIGENCE IN HEALTHCARE
1.    A BRIEF INTRODUCTION TO AI IN HEALTHCARE - References / Further Reading: MedMantra.com/a1
2.    AI-AUGMENTED HEALTHCARE – CURRENT STATE AND FUTURE APPLICATIONS - References / Further Reading: MedMantra.com/a2
3.    FDA-APPROVED AI APPLICATIONS IN MEDICINE - References / Further Reading: MedMantra.com/a3

SECTION 2: ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING SIMPLIFIED
4.    ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING SIMPLIFIED - References / Further Reading: MedMantra.com/a4
5.    HEALTHCARE DATA - References / Further Reading: MedMantra.com/a5
6.    THE AI BLACK BOX ISSUE AND EXPLAINABLE AI - References / Further Reading: MedMantra.com/a6
7.    THE FUTURE OF AI IN HEALTHCARE WITH FEDERATED LEARNING - References / Further Reading: MedMantra.com/a7
8.    NATURAL LANGUAGE PROCESSING (NLP) IN HEALTHCARE - References / Further Reading: MedMantra.com/a8
9.    MYTHS ABOUT AI APPLICATIONS IN HEALTHCARE - References / Further Reading: MedMantra.com/a9
10.    AI RESEARCH IN HEALTHCARE: A PRACTICAL GUIDE - References / Further Reading: MedMantra.com/a10

SECTION 3: ETHICS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE
11.    ETHICS OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE - References / Further Reading: MedMantra.com/a11

SECTION 4: IMPLEMENTATION OF AI INTO CLINICAL PRACTICE
12.    IMPLEMENTATION OF AI INTO CLINICAL PRACTICE - References / Further Reading: MedMantra.com/a12
13.    IMPLEMENTATION OF AI INTO RADIOLOGY WORKFLOW - References / Further Reading: MedMantra.com/a13
14.    IMPLEMENTATION OF AI INTO PATHOLOGY WORKFLOW - References / Further Reading: MedMantra.com/a14

SECTION 5: AI IN TELEHEALTH, COVID-19, DRUG DISCOVERY AND DEVELOPMENT, AND HEALTHCARE ROBOTICS
15.    AI IN TELEHEALTH - References / Further Reading: MedMantra.com/a15
16.    AI IN THE FIGHT AGAINST COVID-19 - References / Further Reading: MedMantra.com/a16
17.    AI IN DRUG DISCOVERY AND DEVELOPMENT - References / Further Reading: MedMantra.com/a17
18.    AI IN HEALTHCARE ROBOTICS - References / Further Reading: MedMantra.com/a18

SECTION 6: AI IN ELECTRONIC HEALTH RECORDS, HEALTH INSURANCE, AND MEDICAL EDUCATION
19.    AI IN ELECTRONIC HEALTH RECORDS - References / Further Reading: MedMantra.com/a19
20.    HEALTH AND MEDICAL DATA OWNERSHIP - References / Further Reading: MedMantra.com/a20
21.    AI IN HEALTH INSURANCE - References / Further Reading: MedMantra.com/a21
22.    AI IN MEDICAL EDUCATION - References / Further Reading: MedMantra.com/a22

SECTION 7: AI IN GENOMIC AND PRECISION MEDICINE AND VIRTUAL ASSISTANTS AND HOSPITALS
23.    AI IN GENOMIC MEDICINE - References / Further Reading: MedMantra.com/a23
24.    AI IN PRECISION MEDICINE - References / Further Reading: MedMantra.com/a24
25.    VIRTUAL HEALTH AND MEDICAL ASSISTANTS AND VIRTUAL HOSPITALS - References / Further Reading: MedMantra.com/a25

SECTION 8: PRESENT STATE & FUTURE OF AI IN MAJOR HEALTHCARE SPECIALTIES
26.    PREVENTIVE HEALTHCARE - References / Further Reading: MedMantra.com/a26
27.    NUTRITION - References / Further Reading: MedMantra.com/a27
28.    RADIOLOGY - References / Further Reading: MedMantra.com/a28
29.    PATHOLOGY - References / Further Reading: MedMantra.com/a29
30.    SURGERY - References / Further Reading: MedMantra.com/a30
31.    ANESTHESIOLOGY - References / Further Reading: MedMantra.com/a31
32.    PAIN MEDICINE - References / Further Reading: MedMantra.com/a32
33.    PSYCHIATRY - References / Further Reading: MedMantra.com/a33
34.    CARDIOLOGY - References / Further Reading: MedMantra.com/a34
35.    PHARMACY - References / Further Reading: MedMantra.com/a35
36.    DERMATOLOGY - References / Further Reading: MedMantra.com/a36
37.    DENTISTRY - References / Further Reading: MedMantra.com/a38
38.    ORTHOPEDICS - References / Further Reading: MedMantra.com/a2
39.    OPHTHALMOLOGY - References / Further Reading: MedMantra.com/a39
40.    CRITICAL CARE MEDICINE - References / Further Reading: MedMantra.com/a40
41.    EMERGENCY MEDICINE - References / Further Reading: MedMantra.com/a41
42.    ENDOCRINOLOGY - References / Further Reading: MedMantra.com/a42
43.    GASTROENTEROLOGY - References / Further Reading: MedMantra.com/a43
44.    HEMATOLOGY - References / Further Reading: MedMantra.com/a44
45.    INFECTIOUS DISEASES - References / Further Reading: MedMantra.com/a45
46.    FAMILY MEDICINE/PRIMARY CARE - References / Further Reading: MedMantra.com/a46
47.    NEPHROLOGY - References / Further Reading: MedMantra.com/a47
48.    NEUROLOGY AND NEUROSURGERY - References / Further Reading: MedMantra.com/a48
49.    OBSTETRICS AND GYNECOLOGY - References / Further Reading: MedMantra.com/a49
50.    ONCOLOGY - References / Further Reading: MedMantra.com/a50
51.    PEDIATRICS - References / Further Reading: MedMantra.com/a51
52.    PULMONOLOGY - References / Further Reading: MedMantra.com/a52
53.    RHEUMATOLOGY - References / Further Reading: MedMantra.com/a53
54.    NURSING - References / Further Reading: MedMantra.com/a54
55.    PHYSICAL THERAPY - References / Further Reading: MedMantra.com/a55
56.    VETERINARY MEDICINE - References / Further Reading: MedMantra.com/a56
57.    HEALTHCARE ADMINISTRATION - References / Further Reading: MedMantra.com/a57

SECTION 9: A REVIEW OF SOME ADVANCES IN TECHNOLOGY AND THE IMPLICATIONS FOR MEDICAL APPLICATIONS
58.    A REVIEW OF SOME ADVANCES IN TECHNOLOGY AND THE IMPLICATIONS FOR MEDICAL APPLICATIONS - References / Further Reading: MedMantra.com/a58

SECTION 10: ROLE OF MAJOR CORPORATIONS IN AI IN HEALTHCARE
59.    IBM WATSON – MAKING INROADS IN THE WORLD OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE - References / Further Reading: MedMantra.com/a59
60.    ROLE OF GOOGLE & DEEPMIND IN ARTIFICIAL INTELLIGENCE IN HEALTHCARE - References / Further Reading: MedMantra.com/a59
61.    BAIDU: THE FUTURE OF ARTIFICIAL INTELLIGENCE IN HEALTHCARE? - References / Further Reading: MedMantra.com/a59
62.    FACEBOOK & ARTIFICIAL INTELLIGENCE IN HEALTHCARE - References / Further Reading: MedMantra.com/a59
63.    MICROSOFT & ARTIFICIAL INTELLIGENCE IN HEALTHCARE - References / Further Reading: MedMantra.com/a59
64.    AMAZON & ARTIFICIAL INTELLIGENCE IN HEALTHCARE - References / Further Reading: MedMantra.com/a59
65.    APPLE & ARTIFICIAL INTELLIGENCE IN HEALTHCARE - References / Further Reading: MedMantra.com/a59
66.    NVIDIA & ARTIFICIAL INTELLIGENCE IN HEALTHCARE - References / Further Reading: MedMantra.com/a59
67.    ROLE OF GE IN ARTIFICIAL INTELLIGENCE IN HEALTHCARE - References / Further Reading: MedMantra.com/a59
68.    ROLE OF SIEMENS IN ARTIFICIAL INTELLIGENCE IN HEALTHCARE - References / Further Reading: MedMantra.com/a59
69.    ROLE OF PHILIPS IN ARTIFICIAL INTELLIGENCE IN HEALTHCARE - References / Further Reading: MedMantra.com/a59

SECTION 11: ROLE OF START-UP COMPANIES IN AI IN HEALTHCARE
70.    ROLE OF START-UP COMPANIES IN AI IN HEALTHCARE

SECTION 12: CONCLUSION
71.    CONCLUSION

REVIEW REQUEST

ABOUT THE AUTHOR – DR. PARAG MAHAJAN, MD

REFERENCES - GENERAL EDITION 2022

SECTION 1: ARTIFICIAL INTELLIGENCE IN HEALTHCARE
1.    ARTIFICIAL INTELLIGENCE VERSUS HUMAN INTELLIGENCE - References / Further Reading: MedMantra.com/a1
2.    A BRIEF INTRODUCTION TO AI IN HEALTHCARE - References / Further Reading: MedMantra.com/a1
3.    AI-AUGMENTED HEALTHCARE – CURRENT STATE AND FUTURE APPLICATIONS - References / Further Reading: MedMantra.com/a2
4.    ARTIFICIAL INTELLIGENCE AND NEURAL NETWORKS - References / Further Reading: MedMantra.com/a4
5.    THE AI BLACK BOX ISSUE AND EXPLAINABLE AI - References / Further Reading: MedMantra.com/a6
6.    THE FUTURE OF AI IN HEALTHCARE WITH FEDERATED LEARNING - References / Further Reading: MedMantra.com/a7
7.    MYTHS ABOUT AI APPLICATIONS IN HEALTHCARE - References / Further Reading: MedMantra.com/a9
8.    ETHICAL QUESTIONS FOR ARTIFICIAL INTELLIGENCE IN HEALTH CARE

SECTION 2: PRESENT STATE & FUTURE OF AI IN MAJOR HEALTHCARE SPECIALTIES
9.    PREVENTIVE HEALTHCARE - References / Further Reading: MedMantra.com/a26
10.    NUTRITION - References / Further Reading: MedMantra.com/a27
11.    RADIOLOGY - References / Further Reading: MedMantra.com/a28
12.    PATHOLOGY - References / Further Reading: MedMantra.com/a29
13.    SURGERY - References / Further Reading: MedMantra.com/a30
14.    ANESTHESIOLOGY - References / Further Reading: MedMantra.com/a31
15.    PSYCHIATRY - References / Further Reading: MedMantra.com/a33
16.    CARDIOLOGY - References / Further Reading: MedMantra.com/a34
17.    PHARMACY - References / Further Reading: MedMantra.com/a35
18.    DERMATOLOGY - References / Further Reading: MedMantra.com/a36
19.    DENTISTRY - References / Further Reading: MedMantra.com/a37
20.    ORTHOPEDICS - References / Further Reading: MedMantra.com/a38
21.    OPHTHALMOLOGY - References / Further Reading: MedMantra.com/a39