Using AI to Predict Cardiac Pumping Performance, Minimizing the Need for Invasive Testing
University of California, San Francisco (UCSF)In a study publishing May 10 in JAMA Cardiology, senior author and UCSF cardiologist Geoff Tison, MD, MPH, and first author Robert Avram, MD, of the Montreal Heart Institute, set out to determine whether deep neural networks (DNNs), a category of AI algorithm, could be used to predict cardiac pump (contractile) function from standard angiogram videos. They developed and tested a DNN called CathEF, to estimate LVEF from coronary angiograms of the left side of the heart.