Artificial Intelligence in Healthcare

AI, Machine Learning, and Deep and Intelligent Medicine Simplified for Everyone

Academic Edition, Chapter 2 - References/Further Reading

General Edition, Chapter 3 - References/Further Reading

 

  1. Top 5 robotic surgery systems [Internet]. Docwire News. [cited 2020 Jul 2]. Available from: https://www.docwirenews.com/future-of-medicine/top-5-robotic-surgery-systems/
  2. Mulken TJ, Rm S, Am S, B W, R C, Fb S, et al. First-in-human robotic supermicrosurgery using a dedicated microsurgical robot for treating breast cancer-related lymphedema: a randomized pilot trial. Nature communications. 2020;11;11(1):1-7.
  3. About us [Internet]. Microsure.nl. 2019 [cited 2021 Mar 28]. Available from: http://microsure.nl/about/
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  11. This tech can help diagnose deadly blood infections [Internet]. Weforum.org. [cited 2021 Mar 28]. Available from: https://www.weforum.org/agenda/2017/12/this-tech-can-help-diagnose-deadly-blood-infections/
  12. Rehman A-U, Ali N, Taj IA, Sajid M, Karimov KS. An automatic mass screening system for cervical cancer detection based on convolutional neural network. Math Probl Eng. 2020;2020:1–14.
  13. SkinVision review: Dermatology app under the microscope [Internet]. Medicalfuturist.com. 2019 [cited 2021 Mar 28]. Available from: https://medicalfuturist.com/aspiring-dermatology-app-under-the-microscope-the-skinvision-review
  14. Babylon Health. Babylon health UK - the online doctor and prescription services app [Internet]. Babylonhealth.com. 2018 [cited 2021 Mar 28]. Available from: https://www.babylonhealth.com/
  15. Akira by TELUS Health [Internet]. Telus.com. [cited 2021 Mar 28]. Available from: https://www.telus.com/en/health/organizations/group-health-benefits/employers/akira
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  17. Weng SF, Reps J, Kai J, Garibaldi JM, Qureshi N. Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLoS One. 2017;12(4):e0174944.
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  21. Tan BS, Dunnick NR, Gangi A, Goergen S, Jin Z-Y, Neri E, et al. RSNA international trends: A global perspective on the COVID-19 pandemic and radiology in late 2020. Radiology. 2021;299(1):E193–203.
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  24. New Ebola treatment using artificial intelligence [Internet]. Atomwise.com. 2015 [cited 2021 Mar 28]. Available from: https://www.atomwise.com/2015/03/24/new-ebola-treatment-using-artificial-intelligence/
  25. Place S. Honoring our Veterans: Leveraging mobile technology for real time support [Internet]. Cogitocorp.com. 2017 [cited 2021 Mar 28]. Available from: https://www.cogitocorp.com/honoring-our-veterans-leveraging-mobile-technology-for-real-time-support/
  26. Sensely: Conversational AI to improve health and drive member engagement [Internet]. Sensely.com. 2019 [cited 2021 Mar 28]. Available from: https://www.sensely.com/
  27. AiCure – The link between patients, disease and treatment [Internet]. Aicure.com. [cited 2021 Mar 28]. Available from: https://aicure.com/
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  29. Menni C, Valdes AM, Freidin MB, Sudre CH, Nguyen LH, Drew DA, et al. Real-time tracking of self-reported symptoms to predict potential COVID-19. Nat Med. 2020;26(7):1037–40.
  30. Haysom S. British teenager creates robot lawyer to help people with their legal queries [Internet]. Mashable. 2016 [cited 2021 Mar 28]. Available from: https://mashable.com/2016/01/13/british-teenager-creates-robot-lawyer/
  31. Turner-Lee N, Resnick P, Barton G. Algorithmic bias detection and mitigation: Best practices and policies to reduce consumer harms [Internet]. Brookings. 2019 [cited 2021 Mar 28]. Available from: https://www.brookings.edu/research/algorithmic-bias-detection-and-mitigation-best-practices-and-policies-to-reduce-consumer-harms/
  32. US Food and Drug Administration . Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) Action Plan. [Online]. Available from: https://www.fda.gov/media/145022/downloadgov. [cited 2021 Mar 28].
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  34. Shah SB. McSleepy, da Vinci, Kepler Intubation System et al. Indian J Anaesth. 2013;57(1):101–2.
  35. Alemzadeh H, Raman J, Leveson N, Kalbarczyk Z, Iyer RK. Adverse events in robotic surgery: a retrospective study of 14 years of FDA data. PloS one. 2016;11(4):e0151470.
  36. Huisman M, Ranschaert E, Parker W, Mastrodicasa D, Koci M, Pinto de Santos D, et al. An international survey on AI in radiology in 1,041 radiologists and radiology residents part 1: fear of replacement, knowledge, and attitude. Eur Radiol [Internet]. 2021; Available from: http://dx.doi.org/10.1007/s00330-021-07781-5
  37. AI can outperform doctors. So why don't patients trust it? Harvard business review [Internet]. 2019 Oct 30 [cited 2021 Mar 28]; Available from: https://hbr.org/2019/10/ai-can-outperform-doctors-so-why-dont-patients-trust-it