AI and the World's Hard Problems · Medicine & drug discovery · Nature (machine learning) · 2026-10-05
A deep learning-driven pipeline for differentiating hypertrophic cardiomyopathy from cardiac amyloidosis using 2D multi-view echocardiography
Hypertrophic cardiomyopathy (HCM) and cardiac amyloidosis (CA) look alike on echocardiography, which makes them hard to tell apart. The study developed a deep-learning framework that classifies 2D echo images into five clinically relevant views, extracts features from each view and fuses them. In fivefold cross-validation on 212 HCM, 119 CA and 200 control patients, it reached a precision of 0.83, sensitivity of 0.81, specificity of 0.89 and micro-F1 of 0.82, and the authors describe it as a reliable diagnostic tool.