Diagnostic and interpretive gains from reasoning over conclusions with a large reasoning model in radiology.

Radiologists can miss subtle secondary findings relevant to tumor staging and management. Large reasoning models (LRMs) may mitigate this by improving interpretive completeness and transparency, yet systematic evaluation remains lacking. We studied 9…

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