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.
William M. Kuzon, Jr., MD, PhD, Emily Sluiter, and Katherine M. Gast, MD, MS
Plastic surgeons’ use of patient images on social media should conform to the American Society of Plastic Surgeons’ advertising and image use guidelines.
AMA J Ethics. 2018;20(4):403-413. doi:
10.1001/journalofethics.2018.20.4.sect1-1804.
Emily L. Evans, PhD, MPH and Danielle Whicher, PhD, MHS
Clinical decision support systems leverage data generated in the course of standard clinical care to improve clinical practice. They need to ensure privacy and quality of patients’ data, but must also allow queries of electronic health records.
AMA J Ethics. 2018;20(9):E857-863. doi:
10.1001/amajethics.2018.857.
An emerging medical ethics issue is whether to delay posting pathology reports to electronic health records (EHR) to allow clinicians time to follow up.
AMA J Ethics. 2016;18(8):826-832. doi:
10.1001/journalofethics.2016.18.8.pfor1-1608.
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.