Coronary artery disease detection using deep learning and ultrahigh-resolution photon-counting coronary CT angiography

Abstract

Automated deep learning shows remarkable performance for the diagnosis of significant CAD on non-UHR PC-CCTA images. AI pre-reading may be of supportive value to the human reader in daily clinical practice to target and validate coronary artery stenosis using UHR PC-CCTA.