Deep learning algorithm to improve hypertrophic cardiomyopathy mutation prediction using cardiac cine images

The high variability of hypertrophic cardiomyopathy (HCM) genetic phenotypes has prompted the establishment of risk-stratification systems that predict the risk of a positive genetic mutation based on clinical and echocardiographic profiles. This study aims to improve mutation-risk prediction by extracting cardiovascular magnetic resonance (CMR) morphological features using a deep learning algorithm. We recruited 198 HCM patients (48% men, aged...