Evaluating Large Language Models in Dynamic Clinical Decision-Making with Standardized Patient Cases 事件

Evaluating Large Language Models in Dynamic Clinical Decision-Making with Standardized Patient Cases arXiv:2606.05112v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly proposed as clinical agents, yet static, single-turn benchmarks cannot capture how a model dynamically delivers care across an encounter: gathering information, planning treatment, and adapting longitudinal management across successive patient states. Medical education has long addressed an analogous ch