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Emory University School of Medicine
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Distilling real GPT-4o-labeled reports, not synthetic data, enables open-weight models to match proprietary LLMs for high-value clinical entity extraction.
Frozen ViT embeddings can mask critical small-lesion signals in chest radiography, but targeted pooling methods can recover nearly all of this lost information.