Reference no: EM133571588
Assignment:
Define terms "Medical AI," "Patient autonomy," "Informed consent," "Privacy and data security," and "Liability and malpractice, Ethical Issues Related to medical AI Legal Issues related to medical AI
Key References:
1. Baker, D. M., & Kay, M. (2020). Artificial intelligence, medical malpractice, and the end of defensive medicine. Stanford Law Review, 73(1), 29-101.
2. Cohen, I. G., & Mello, M. M. (2019). HIPAA and protecting health information in the 21st century. JAMA, 321(9), 827-828.
3. Wang, F., Casalino, L. P., & Khullar, D. (2018). Deep learning in medicine-promise, progress, and challenges. JAMA Internal Medicine, 178(10), 1337-1338.**
4. Char, D. S., & Shah, N. H. (2019). Magnus, a robustness metric for clinical natural language processing models. arXiv preprint arXiv:1907.06587.
5. Hwang, T. J., Kesselheim, A. S., & Vokinger, K. N. (2020). Lifecycle regulation of artificial intelligence- and machine learning-based software devices in medicine. JAMA, 323(5), 403-404.
6. Mittelstadt, B. D., Allo, P., Taddeo, M., Wachter, S., & Floridi, L. (2016). The ethics of algorithms: Mapping the debate. Big Data & Society, 3(2), 2053951716679679.**
7. Friedman, B., & Nissenbaum, H. (1997). Bias in computer systems. ACM Transactions on Information Systems (TOIS), 15(4), 330-347.