AI RESEARCH

MedAction: Towards Active Multi-turn Clinical Diagnostic LLMs

arXiv CS.AI

ArXi:2605.07305v1 Announce Type: cross Most existing LLM diagnoses are evaluated on static, single-turn settings where complete patient information is provided upfront, an oversimplification of real clinical practice. We study active diagnosis: the real-life clinical process of starting from initial observation, ordering tests, interpreting results, and updating a differential diagnosis across multiple turns. Through systematic analysis, we identify three recurring failure modes in current LLMs: ungrounded test ordering, unreliable diagnostic update, and degraded multi-turn coherence.