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.
Judgmentalism applied to patients from poor and marginalized communities exacerbates health inequity and illuminates the importance of contextualizing a patient’s care.
AMA J Ethics. 2021;23(2):E91-96. doi:
10.1001/amajethics.2021.91.
Some refugees’ illness experiences preclude them from testifying and accurately representing their own interests during asylum adjudication proceedings.
AMA J Ethics. 2021;23(2):E132-139. doi:
10.1001/amajethics.2021.132.
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.
Eleftherios Mylonakis, MD and Panayiotis D. Ziakas, MD, MSc, PhD
Allocating resources for interventions requires consensus among stakeholders with a plurality of perspectives about how to weigh antimicrobial stewardship interventions’ risks and benefits.
AMA J Ethics. 2021;23(8):E631-638. doi:
10.1001/amajethics.2021.631.