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.
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.
Sabhyta Sabharwal, MPH, Jason W. Mitchell, PhD, MPH, and Victoria Y. Fan, ScD, SM
The World Health Organization and American Academy of Pediatrics recommend disclosing serostatus to sexually active adolescents. What else can be done to improve clinical outcomes and promote public health?
AMA J Ethics. 2018;20(8):E743-749. doi:
10.1001/amajethics.2018.743.
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.
Deception’s justifiability might depend on clinicians’ commitment to solidarity and awareness of social determinants of patients’ vulnerability to HIV infection.
AMA J Ethics. 2021;23(5):E382-387. doi:
10.1001/amajethics.2021.382.
Long-acting injectables powerfully augment HIV care, but broad acceptance and uptake could be compromised by what we know about experiences with antipsychotics.
AMA J Ethics. 2021;23(5):E405-409. doi:
10.1001/amajethics.2021.405.
Rayner Kay Jin Tan, Jane Mingjie Lim, MSW, and Jeremiah Kah Wai Chan, MSc
Merits and drawbacks of U = U messaging are ethically and clinically complex, and drawbacks could harm patients in whom viral suppression is hard to achieve.
AMA J Ethics. 2021;23(5):E418-422. doi:
10.1001/amajethics.2021.418.