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.
Patients can now easily view their health records, so clinicians must consider a reader’s interpretation of how they convey sensitive personal health information. What might this mean for ethics consultants?
AMA J Ethics. 2020;22(9):E784-791. doi:
10.1001/amajethics.2020.784.
Dr Mitesh Patel joins us on this episode of Ethics Talk to discuss nudges, how they can be used effectively in health care, and how to identify and avoid the potential ethical pitfalls of guiding behavior.
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.
Mark Gilbert, PhD, Leanne Picketts, MEd, Anna MacLeod, PhD, and Wendy A. Stewart, MD, MMEd, PhD
This study offers an arts-based tool set capable of being delivered within the familiar medical education setting and established structure of the OSCE.
AMA J Ethics. 2022;24(7):E556-562. doi:
10.1001/amajethics.2022.556.
Miranda B. Olson, MSc, Stacey Springs, PhD, and Jay Baruch, MD
Responsible arts in health research requires interrogating what counts as evidence, especially when the insistence on rigor risks oversimplifying and diminishing what’s ineffable about the arts.
AMA J Ethics. 2022;24(7):E617-621. doi:
10.1001/amajethics.2022.617.