Prognostic value of a novel artificial intelligence-based coronary CTA-derived ischemia algorithm among patients with normal or abnormal myocardial perfusion

Performance of an artificial intelligence-guided quantitative coronary computed tomography algorithm for predicting myocardial ischemia in real-world practice

“…However, these approaches are associated with a high cost as well as radiation burden, in contrast to coronary CT angiography (CCTA) [3] , [4] . Therefore, recent efforts have investigated the use of anatomical characteristics from CCTA analyzed by artificial intelligence (Atherosclerosis Imaging-Quantitative Computed Tomopgraphy [AI-QCT], Cleerly Inc, Denver, CO) [5] , [6] , [7] , [8] to analyze the probability of vessel-specific coronary ischemia. In two controlled research settings, this novel algorithm (AI-QCT ISCHEMIA ) showed high accuracy for predicting reduced fractional flow reserve (FFR), at least similar to FFR CT , and has shown important value for major adverse cardiovascular events prognostication [9] , [10] .…”