Camillo Lamanna, MMathPhil, MBBS and Lauren Byrne, MBBS
Perhaps machine learning systems trained on patients’ electronic health records and social media footprints could be used as decision aids when patients lack capacity or face overwhelming decisions.
AMA J Ethics. 2018;20(9):E902-910. doi:
10.1001/amajethics.2018.902.
International debate about human genome editing governance has undergone a paradigm shift and suggests that inclusive public deliberation is still important.
AMA J Ethics. 2019;21(12):E1065-1070. doi:
10.1001/amajethics.2019.1065.
The DSM-5 Task Force’s handling of the ethical controversy over the bereavement exclusion demonstrates the need for more inclusive deliberative processes.
AMA J Ethics. 2017;19(2):192-198. doi:
10.1001/journalofethics.2017.19.2.pfor2-1702.
Shailendra Prasad, MBBS, MPH, Fatima Alwan, MS, Jessica Evert, MD, Tricia Todd, MPH, and Fred Lenhoff, MA
Short-term experiences in global health are common ways trainees engage in global health activities. Professional societies take active roles in addressing these ethical challenges.
AMA J Ethics. 2019;21(9):E742-748. doi:
10.1001/amajethics.2019.742.
Michael Anderson, PhD and Susan Leigh Anderson, PhD
Two concerns (unknowability of how output is derived from input and overreliance on clinical decision support systems) are main sources of ethical questions about AI in health care.
AMA J Ethics. 2019;21(2):E125-130. doi:
10.1001/amajethics.2019.125.