Research shows how machine-learning models can interpret echocardiographic images and enable HCM diagnosis

Computer algorithms can automatically interpret echocardiographic images and distinguish between pathological hypertrophic cardiomyopathy and physiological changes in athletes' hearts, according to research from the Icahn School of Medicine at Mount Sinai, published online yesterday in the Journal of the American College of Cardiology.