A deep learning-driven pipeline for differentiating hypertrophic cardiomyopathy from cardiac amyloidosis using 2D multi-view echocardiography

Researchers developed a deep learning framework that classifies 2D echocardiographic images into five views to differentiate hypertrophic cardiomyopathy from cardiac amyloidosis. Tested on 531 patients, the model achieved over 80% precision and sensitivity, supporting its clinical diagnostic potential.