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Shanghai AI Laboratory
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Despite LLMs excelling at identifying reviewer concerns, they falter in verifying if revisions truly resolve those issues, with the best achieving only a 0.501 score in evidence-based checks.
The medical imaging AI community is being held back by a fragmented data landscape, but a new metadata-driven fusion paradigm offers a path to unlocking the power of foundation models.
