AI can identify guardian authorship of messages in teen patient portal

Large language model (LLM)-based classifiers can accurately detect guardian authorship of messages sent from an adolescent patient portal, according to a research letter published online June 25 in JAMA Network Open. April S. Liang, M.D., from the Stanford University School of Medicine in Palo Alto, California, and colleagues examined the ability of a LLM to detect guardian authorship of messages originating from adolescent patient portals. Messages from adolescent patient portal accounts at Stanford Children’s Health were sampled and manually reviewed for authorship. Two prompts were iteratively engineered on a random Read More