What clinicians should know about how large language models reason

Abstract

Large language models give a convincing impression of reasoning but can introduce meaningful errors into clinical notes, assessments and care plans, with potentially negative consequences. Clinicians must have a practical understanding of how these systems work, where they fail and why verification must remain central to safe use.