A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Stenosis Severity

The authors explored the development and validation of machine-learning models for augmenting the echocardiographic grading of aortic stenosis (AS) severity. In AS, symptoms and adverse events develop secondarily to valvular obstruction and left ventricular decompensation. The current echocardiographic grading of AS severity focuses on the valve and is limited by diagnostic uncertainty. Using echocardiography (ECHO) measurements (ECHO cohort, n...