The multicenter international study, which enrolled 258 patients across 15 sites in the U.S. and Japan, compared HeartFlow’s automated deep-learning-based method for segmenting coronary atherosclerosis in coronary computed tomography angiography against the reference standard of intravascular ultrasound.