A five-class CMR disease classifier built from LLM-derived report labels and three fine-tuned vision foundation models reached ensemble AUCs of 0.84–0.97 on a single-center test set.
Screening and diagnosis of cardiovascular disease using artificial intelligence- enabled cardiac magnetic resonance imaging,
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Development of an automated, reliable, and clinically meaningful artificial intelligence (AI) tool for diagnosing cardiac disease from conventional cardiovascular magnetic resonance (CMR) images
A five-class CMR disease classifier built from LLM-derived report labels and three fine-tuned vision foundation models reached ensemble AUCs of 0.84–0.97 on a single-center test set.