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.
Elizabeth Boskey, PhD, MPH, MSSW, Amir Taghinia, MD, and Oren Ganor, MD
Training should be implemented to respond to clinical staff members’ concerns about trans patients occupying sex-segregated spaces and to help mitigate anti-trans bias.
AMA J Ethics. 2018;20(11):E1067-1074. doi:
10.1001/amajethics.2018.1067.
The DSM-5 Task Force’s handling of the ethical controversy over the bereavement exclusion demonstrates the need for more inclusive deliberative processes.
AMA J Ethics. 2017;19(2):192-198. doi:
10.1001/journalofethics.2017.19.2.pfor2-1702.
Women who are pregnant might not treat their mental illnesses because they overestimate risks of medication and underestimate risks of leaving their illness untreated.
AMA J Ethics. 2016;18(6):614-623. doi:
10.1001/journalofethics.2016.18.6.stas1-1606.
John is one patient-sitter whose cancer and portraiture experiences illuminate what it means to witness, to express regard for another’s difficult health and health care experiences.
AMA J Ethics. 2020;22(6):E470-475. doi:
10.1001/amajethics.2020.470.
Lisa is one patient-sitter who took comfort in the permanence of portraiture amidst the uncertainties of tongue cancer. Her experience offers an abundance of lessons for art and healing.
AMA J Ethics. 2020;22(6):E482-487. doi:
10.1001/amajethics.2020.482.
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.