Large language model performance and clinical reasoning tasks.

Large language models (LLMs) are increasingly promoted for clinical use, but their ability to support real-world clinical reasoning remains uncertain. This cross-sectional study found that while LLMs were often accurate in identifying final diagnoses, they performed poorly in generating differential diagnoses and managing uncertainty. The authors propose a multidimensional benchmark to better assess the safe clinical deployment of AI tools.