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Cleerly uses proprietary and FDA-cleared machine learning algorithms to non-invasively measure atherosclerosis (plaque), stenosis, and likelihood of ischemia using coronary computed tomography angiography (CCTA) studies. Our machine-learning AI generates a 3D model of the patient’s coronary arteries, identifies their lumen and vessel walls, locates and measures stenoses, while quantifying and categorizing plaque.1 Cleerly ISCHEMIA’s algorithm uses measurements based on invasive FFR data to determine the likelihood of vessel-level ischemia