Systematic evaluation of the DeepSeek large language model for clinical diagnostic reasoning.

AI demonstrates potential to improve disease detection, diagnosis, and treatment. This preliminary study evaluates the widely used DeepSeek model in acute care scenarios, assessing diagnostic reasoning, consistency over time, and adherence to evidence-based critical care guidelines from Merck Manual cases. Results include 83% accuracy in final diagnosis and weaker accuracy in generating differential diagnoses, highlighting ongoing challenges in probabilistic reasoning and integration of multimodal clinical data.