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.
Natural language processing can be used not only to extract quantifiable facts from individual medical records but also to study variation in a data set.
AMA J Ethics. 2017;19(3):281-288. doi:
10.1001/journalofethics.2017.19.3.stas1-1703.
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.
Patients can now easily view their health records, so clinicians must consider a reader’s interpretation of how they convey sensitive personal health information. What might this mean for ethics consultants?
AMA J Ethics. 2020;22(9):E784-791. doi:
10.1001/amajethics.2020.784.