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.
Rebekah Davis Reed, PhD, JD and Erik L. Antonsen, PhD, MD
Though the National Aeronautics and Space Administration’s collection of disaggregated genetic data for occupational surveillance and research raises numerous privacy concerns, the Genetic Information Nondiscrimination Act of 2008 allows genetic information to be used to develop personal pharmaceuticals.
AMA J Ethics. 2018;20(9):E849-856. doi:
10.1001/amajethics.2018.849.
Patient safety is a medical ethics issue that must be addressed through health care teams’ open communication as well as through time-outs and checklists.
AMA J Ethics. 2016;18(9):925-932. doi:
10.1001/journalofethics.2016.18.9.stas1-1609.
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.
Carly P. Smith, PhD and Daniel R. George, PhD, MSc
Invisibility of racial inequity and gender inclusion in clinical research means key features of disease etiology and symptom presentation are unaccounted for.
AMA J Ethics. 2021;23(7):E563-568. doi:
10.1001/amajethics.2021.563.