Left Ventricular Function (LVEF) is a measure of how well the heart pumps blood. It is an important indicator of heart health and is used to diagnose and manage heart disease . LVEF is typically estimated by a sonographer, who uses an ultrasound machine to create images of the heart. However, sonographers can sometimes make errors in their estimates, which can lead to misdiagnosis or delayed treatment. A new AI algorithm called EchoNet has shown promise for more accurate and efficient LVEF estimation. EchoNet was trained on a large dataset of echocardiograms and can identify subtle changes in heart function that would be difficult to spot by eye. In a study published in the journal Nature, EchoNet was found to be more accurate than sonographers in estimating LVEF, and it was also able to do so more efficiently. The study involved 1,000 patients who were undergoing echocardiography . The echocardiograms were analyzed by both sonographers and EchoNet. EchoNet was able to estimate LVE