1. Tai MC. The impact of artificial intelligence on human society and bioethics. Tzu Chi Med J 2020;32(4):339-343. [ DOI:10.4103/tcmj.tcmj_71_20] 2. Hamamoto R. Application of Artificial Intelligence for Medical Research. Biomolecules. 2021 Jan 12;11(1):90. [ DOI:10.3390/biom11010090] 3. Gore JC. Artificial intelligence in medical imaging. Magn Reson Imaging 2020;68:A1-A4. [ DOI:10.1016/j.mri.2019.12.006] 4. Noorbakhsh-Sabet N, Zand R, Zhang Y, Abedi V. Artificial Intelligence Transforms the Future of Health Care. Am J Med 2019;132(7):795-801. [ DOI:10.1016/j.amjmed.2019.01.017] 5. Savage TR. Artificial Intelligence in Medical Education. Acad Med 2021;96(9):1229-1230. [ DOI:10.1097/ACM.0000000000004183] 6. Grunhut J, Marques O, Wyatt ATM. Needs, Challenges, and Applications of Artificial Intelligence in Medical Education Curriculum. JMIR Med Educ 2022;8(2):e35587. [ DOI:10.2196/35587] 7. Masters K. Ethical use of Artificial Intelligence in Health Professions Education: AMEE Guide No. 158. Med Teach 2023;45(6):574-584. [ DOI:10.1080/0142159X.2023.2186203] 8. Masters K. Ethics in medical education digital scholarship: AMEE Guide No. 134 Med Teach. 2020;42(3):252-265. [ DOI:10.1080/0142159X.2019.1695043] 9. Narayanan A, Shmatikov V. De-anonymizing social networks. in 30th IEEE symposium on security and privacy; 2009 May 17; 2009: IEEE. [ DOI:10.1109/SP.2009.22] 10. Masters K. Ethical use of artificial intelligence in health professions education: AMEE Guide No. 158. Medical Teacher 2023;45(6):574-84. [ DOI:10.1080/0142159X.2023.2186203] 11. Jones KM, Thomson J, Arnold K. Questions of data ownership on campus. Educause Review ; 2014. 12. Nelson GS. Bias in artificial intelligence. North Carolina medical journal 2019;80(4):220-2. [ DOI:10.18043/ncm.80.4.220] 13. Norori N, Hu Q, Aellen FM, Faraci FD, Tzovara A. Addressing bias in big data and AI for health care: A call for open science. Patterns 2021;2(10):100347. [ DOI:10.1016/j.patter.2021.100347] 14. Buolamwini J, Gebru T. Gender shades: Intersectional accuracy disparities in commercial gender classification. InConference on fairness, accountability and transparency 2018 Jan 21. PMLR. 15. Meek T, Barham H, Beltaif N, Kaadoor A, Akhter T. Managing the ethical and risk implications of rapid advances in artificial intelligence: A literature review.Portland International Conference on Management of Engineering and Technology (PICMET); 2016 Sep 4; IEEE; 2016. [ DOI:10.1109/PICMET.2016.7806752] |
