New AI Algorithm Predicts Adverse Cardiovascular Events Written by AZoRoboticsFeb 1 2021 The term 'coronary artery calcification' refers to the accumulation of calcified plaque in the arterial walls of the heart. This condition is a crucial predictor of unfavorable cardiovascular events, including heart attacks. Image Credit: Roman Zaiets/shutterstock While computed tomography (CT) scans can help detect coronary calcium, measuring the amount of plaque needs time, dedicated equipment, and radiological know-how. While chest CT scans are quite common in practice, calcium score CTs are not. Now, researchers from Brigham and Women’s Hospital’s Artificial Intelligence in Medicine (AIM) Program and the Cardiovascular Imaging Research Center (CIRC) at Massachusetts General Hospital have collaborated to design and assess a deep learning system that may help change this scenario.