Articles

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

 

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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.
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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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  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.
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  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