Experienced Reader And Artificial-intelligence Quantitative Computed Tomography Differentiation Of Normal Coronary Arteries And Minimal Coronary Atherosclerosis: An Early Real-world Compatibility Study

Introduction: Reader differentiation of normal from minimally diseased coronary arteries on CTA is valuable, as the former portends very low coronary artery event risk. Deep learning artificial intelligence quantitative computed tomographic (AIQCT) provides rapid measurement of coronary artery plaque not achievable by manual means. Whether AIQCT can separate reader-determined normal coronary arteries from minimally diseased coronaries is unknown.