AI RESEARCH

MedRedFlag: Investigating how LLMs Redirect Misconceptions in Real-World Health Communication

arXiv CS.CL

ArXi:2601.09853v2 Announce Type: replace Real-world health questions from patients often unintentionally embed false assumptions or premises. In such cases, safe medical communication typically involves redirection: addressing the implicit misconception and then responding to the underlying patient context, rather than the original question. While large language models (LLMs) are increasingly being used by lay users for medical advice, they have not yet been tested for this crucial competency.