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RadDiff: Describing Differences in Radiology Image Sets with Natural Language
arXiv:2601.03733v1 Announce Type: new Abstract: Understanding how two radiology image sets differ is critical for generating clinical insights and for interpreting medical AI systems. We introduce RadDiff, a multimodal agentic system that performs radiologist-style comparative reasoning to describe…
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