Skip to main content
ABSTRACT & COMMENTARY

Using Artificial Intelligence to Optimize Aortic Stenosis Echocardiographic Surveillance

A machine learning model to predict the frequency of echocardiographic exams in patients with mild-to-moderate aortic stenosis necessary to accurately detect the onset of severe stenosis performed with a high degree of accuracy would reduce the number of unnecessary echocardiograms specified by current guidelines.