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A novel deep learning-based automated approach further accentuates the high usefulness of contrast-enhanced coronary CT angiography for the quantification of coronary artery calcium

    A retrospective study involving 315 subjects demonstrated the efficiency and reliability of contrast-enhanced coronary CT angiography associated with a deep learning-based automated quantification algorithm in rapidly and safely extracting the volume of coronary artery calcium, an accurate predictor of cardiovascular events.