AIBullisharXiv – CS AI · Mar 46/103
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Detecting Structural Heart Disease from Electrocardiograms via a Generalized Additive Model of Interpretable Foundation-Model Predictors
Researchers developed an interpretable AI framework for detecting structural heart disease from electrocardiograms, achieving better performance than existing deep-learning methods while providing clinical transparency. The model demonstrated improvements of nearly 1% across key metrics using the EchoNext benchmark of over 80,000 ECG-ECHO pairs.