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.
Dr Rajani Katta joins Ethics Talk to discuss her article, coauthored with Dina H. Zamil, Emily K. Burns, and Dr Ariadna Perez-Sanchez: “Do You Know How to Assess Risks Posed by Over-the-Counter Vitamin A Supplements?”
Annika Brakebill, A. Mark Fendrick, MD, and Jeffrey T. Kullgren, MD, MS, MPH
These key steps are ones health sector stakeholders should take to help patients and clinicians use pricing information to inform health decision making.
AMA J Ethics. 2022;24(11):E1034-1039. doi:
10.1001/amajethics.2022.1034.
Jing Li, PhD, Robert Tyler Braun, PhD, Sophia Kakarala, and Holly G. Prigerson, PhD
For dying patients and their loved ones to make informed decisions, physicians must share adequate information about prognoses, prospective benefits and harms of specific interventions, and costs.
AMA J Ethics. 2022;24(11):E1040-1048. doi:
10.1001/amajethics.2022.1040.
Artist and researcher Dr Mark Gilbert joins Ethics Talk to discuss arts-based research: what it is, who it’s for, and why we should pay closer attention to it as a method of clinical inquiry.
Nicole Martinez-Martin, JD, PhD, Laura B. Dunn, MD, and Laura Weiss Roberts, MD, MA
Calibrating a machine learning model with data from a local setting is key to predicting psychosis outcomes. Clinicians also need to understand an algorithm’s limitations and disclose clinically and ethically relevant information to patients.
AMA J Ethics. 2018;20(9):E804-811. doi:
10.1001/amajethics.2018.804.