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.
Patients’ experiences of darkness and doubt can be replaced by a sense of buoyancy and lightness. Color and movement convey a patient’s sense of striving, aspiration, and optimism.
AMA J Ethics. 2019;21(4):E370-371. doi:
10.1001/amajethics.2019.370.
Antonio Yaghy, MD, Jerry A. Shields, MD, and Carol L. Shields, MD
Two digital photo-paintings address AI applications in medicine narratively and visually, with special emphasis on communication, compassion, and competence.
AMA J Ethics. 2019;21(11):E1009-1013. doi:
10.1001/amajethics.2019.1009.
Clinically and ethically relevant questions are related to patient safety, therapeutic efficacy, equitable access, and global governance over humanity’s genetic legacy.
AMA J Ethics. 2019;21(12):E1079-1088. doi:
10.1001/amajethics.2019.1079.
Gene editing reminds professionals and the public that this technology’s reach goes beyond treating somatic disease to germline consequences yet unknown.
AMA J Ethics. 2019;21(12):E1056-1058. doi:
10.1001/amajethics.2019.1056.
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.