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