Dr John Banja joins us to discuss the promises and perils of artificial intelligence in health care applications, including potential “megarisks” posed by AI tools themselves.
A history of device oversight by the US Food and Drug Administration traces regulatory changes in response to injuries caused by Dalkon Shield intrauterine devices.
AMA J Ethics. 2021;23(9):E712-720. doi:
10.1001/amajethics.2021.712.
Carmen Black Parker, MD, Amanda Calhoun, MD, MPH, Ambrose H. Wong, MD, MSEd, Larry Davidson, PhD, and Charles Dike, MBChB, MPH
Psychiatric emergencies, coping stress reactions, and iatrogenic injuries are not responded to with the same vigor as acute medical decompensation. That needs to change.
AMA J Ethics. 2020;22(11):E956-964. doi:
10.1001/amajethics.2020.956.
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.
When patients are unable to express their wishes and do not have surrogates or advance directives, which and whose values should inform decision making for them? We discuss ethical complexities of caring for unrepresented patients.
Two pediatric cases highlight risks of prolonging anesthetic exposure for training purposes and prompt questions about influences of surgical training on outcomes.
AMA J Ethics. 2020;22(4):E267-275. doi:
10.1001/amajethics.2020.267.