How AI Could Help Cardiologists Detect Heart Defects

Nearly a third of physicians will be sued at least once in their careers — most commonly for an error in diagnosis. Medical errors are also the third-leading cause of death in the United States, according to a study by Johns Hopkins Medicine. Deep learning has the potential to help doctors cut down on diagnostic errors, said cardiologist Rima Arnaout in a talk at the GPU Technology Conference. An assistant professor of medicine at the University of California, San Francisco, Arnaout is focusing on the potential of AI to analyze cardiac ultrasounds and detect congenital heart disease from fetal ultrasounds.