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Artificial Intelligence in Healthcare

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

Academic Edition, Chapter 11 - References/Further Reading

 

  1. Cruz-Vega I, Hernandez-Contreras D, Peregrina-Barreto H, Rangel-Magdaleno J de J, Ramirez-Cortes JM. Deep learning classification for diabetic foot thermograms. Sensors (Basel). 2020 Mar 22;20(6).
  2. Ng WL, Chan A, Ong YS, Chua CK. Deep learning for fabrication and maturation of 3D bioprinted tissues and organs. Virtual and Physical Prototyping. 2020 Jul 2;15(3):340–58.
  3. Li J, Huang J, Zheng L, Li X. Application of artificial intelligence in diabetes education and management: present status and promising prospect. Front Public Health. 2020 May 29 ;8. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7273319/
  4. Artificial Intelligence for online communities. Venessa Paech. Available from: https://www.venessapaech.com/blog/2020/8/25/ai-applications-for-online-community
  5. Paton C, Kobayashi S. An open science approach to artificial intelligence in healthcare. Yearb Med Inform. 2019 Aug;28(1):47–51.
  6. WHO | Global health workforce shortage to reach 12.9 million in coming decades. WHO. Available from: https://www.who.int/mediacentre/news/releases/2013/health-workforce-shortage/en/
  7. Floridi L, Taddeo M. What is data ethics? Philos Trans A Math Phys Eng Sci. 2016 Dec 28 ;374(2083). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5124072/
  8. Marr B. How much data do we create every day? The mind-blowing stats everyone should read. Forbes. Available from: https://www.forbes.com/sites/bernardmarr/2018/05/21/how-much-data-do-we-create-every-day-the-mind-blowing-stats-everyone-should-read/
  9. Facebook–Cambridge Analytica data scandal. In: Wikipedia. 2021. Available from: https://en.wikipedia.org/w/index.php?title=Facebook%E2%80%93Cambridge_Analytica_data_scandal&oldid=999973790
  10. Patel S, Nanda R, Sahoo S, Mohapatra E. Biosensors in health care: the milestones achieved in their development towards lab-on-chip-analysis. Biochem Res Int. 2016 ;2016. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4794574/
  11. Ahuja AS. The impact of artificial intelligence in medicine on the future role of the physician. PeerJ. 2019 Oct 4 ;7. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779111/
  12. Mattu JA Jeff Larson, Lauren Kirchner, Surya. Machine bias. ProPublica. Available from: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing?token=k0PuAmvq_Xy63TS9ofcxNn6J431eO1RK
  13. agencies S and. Microsoft “deeply sorry” for racist and sexist tweets by AI chatbot. the Guardian. 2016. Available from: http://www.theguardian.com/technology/2016/mar/26/microsoft-deeply-sorry-for-offensive-tweets-by-ai-chatbot
  14. Compas (Software). In: Wikipedia. 2020. Available from: https://en.wikipedia.org/w/index.php?title=COMPAS_(software)&oldid=980952182
  15. FitzGerald C, Martin A, Berner D, Hurst S. Interventions designed to reduce implicit prejudices and implicit stereotypes in real world contexts: a systematic review. BMC Psychology. 2019 May 16;7(1):29.
  16. Barton NT-L Paul Resnick, and Genie. Algorithmic bias detection and mitigation: Best practices and policies to reduce consumer harms. Brookings. 2019. Available from: https://www.brookings.edu/research/algorithmic-bias-detection-and-mitigation-best-practices-and-policies-to-reduce-consumer-harms/
  17. Informed consent. In: Wikipedia. 2021. Available from: https://en.wikipedia.org/w/index.php?title=Informed_consent&oldid=999929290
  18. Gerke S, Minssen T, Cohen G. Ethical and legal challenges of artificial intelligence-driven healthcare. Artificial Intelligence in Healthcare. 2020;295–336.
  19. Handing over mobile phone data in rape prosecutions | The Crown Prosecution Service. Available from: https://www.cps.gov.uk/cps/news/handing-over-mobile-phone-data-rape-prosecutions
  20. Permissions - facebook login - documentation. Facebook for Developers. Available from: https://developers.facebook.com/docs/facebook-login/permissions/overview/
  21. Whitaker TJ, Mayo CS, Ma DJ, Haddock MG, Miller RC, Corbin KS, et al. Data collection of patient outcomes: one institution’s experience. J Radiat Res. 2018 Mar;59(Suppl 1):i19–24.
  22. National Academies of Sciences E, Division H and M, Policy B on HS, Forum on Drug Discovery D, Shore C, Gee AW, et al. Looking ahead. National Academies Press (US); 2019. Available from: https://www.ncbi.nlm.nih.gov/books/NBK540114/
  23. Mohs RC, Greig NH. Drug discovery and development: Role of basic biological research. Alzheimers Dement (N Y). 2017 Nov 11;3(4):651–7.
  24. Networks I of M (US) C on RHD, Donaldson MS, Lohr KN. Confidentiality and privacy of personal data. National Academies Press (US); 1994. Available from: https://www.ncbi.nlm.nih.gov/books/NBK236546/
  25. Your NHS Health Check results and action plan. nhs.uk. 2017. Available from: https://www.nhs.uk/conditions/nhs-health-check/your-nhs-health-check-results-and-action-plan/
  26. Char DS, Shah NH, Magnus D. Implementing machine learning in health care — addressing ethical challenges. N Engl J Med. 2018 Mar 15;378(11):981–3.
  27. Artificial intelligence is the future of warfare (Just not in the way you think) . Modern War Institute. 2020. Available from: https://mwi.usma.edu/artificial-intelligence-future-warfare-just-not-way-think/
  28. Vollmer S, Mateen BA, Bohner G, Király FJ, Ghani R, Jonsson P, et al. Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness. BMJ. 2020 Mar 20;368:l6927.
  29. Strategy archetypes for digital transformation: Defining meta objectives using business process management. Information & Management. 2020 Jul 1;57(5):103262.
  30. How should we assess security and data minimisation in AI? 2021. Available from: https://ico.org.uk/for-organisations/guide-to-data-protection/key-data-protection-themes/guidance-on-ai-and-data-protection/how-should-we-assess-security-and-data-minimisation-in-ai/
  31. Kerry CF. Protecting privacy in an AI-driven world. Brookings. 2020. Available from: https://www.brookings.edu/research/protecting-privacy-in-an-ai-driven-world/
  32. Peguero E, Berenguera A, Pujol-Ribera E, Roman B, Prieto CM, Terribas N. The workers opinions have a value in the Code of Ethics: Analysis of the contributions of workers in virtual Forum Catalan Institute of Health. BMC Med Ethics. 2015 Dec 23 ;16. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4690413/
  33. Jaarsveld S, Lachmann T. Intelligence and creativity in problem solving: the importance of test features in cognition research. Front Psychol. 2017 Feb 6 ;8. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5292426/
  34. Siri, cortana, and alexa carry the marks of their human makers. NPR.org. Available from: https://www.npr.org/sections/13.7/2018/01/09/575072389/siri-cortana-and-alexa-carry-the-marks-of-their-human-makers
  35. Sezgin E, Huang Y, Ramtekkar U, Lin S. Readiness for voice assistants to support healthcare delivery during a health crisis and pandemic. NPJ Digit Med. 2020 Sep 16 ;3. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494948/
  36. No longer science fiction, AI and robotics are transforming healthcare. PwC. Available from: https://www.pwc.com/gx/en/industries/healthcare/publications/ai-robotics-new-health/transforming-healthcare.html
  37. Abhari S, Niakan Kalhori SR, Ebrahimi M, Hasannejadasl H, Garavand A. Artificial intelligence applications in type 2 diabetes mellitus care: focus on machine learning methods. Healthc Inform Res. 2019 Oct;25(4):248–61.
  38. Mueller FB. Ai (Artificial intelligence) and hypertension research. Curr Hypertens Rep. 2020 ;22(9). Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7450041/
  39. Bi WL, Hosny A, Schabath MB, Giger ML, Birkbak NJ, Mehrtash A, et al. Artificial intelligence in cancer imaging: Clinical challenges and applications. CA Cancer J Clin. 2019;69(2):127–57.
  40. Gould TJ. Addiction and cognition. Addict Sci Clin Pract. 2010 Dec;5(2):4–14.