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Despite achieving comparable overall scores, top-performing medical LLMs exhibit surprising differences in reasoning, evidence use, and longitudinal follow-up when evaluated on a new Chinese medical benchmark, revealing critical gaps in clinically actionable treatment planning.
Current vision-language models stumble on subtle spine diagnoses, but a new dataset and benchmark expose these weaknesses and pave the way for clinically useful AI.
