Artificial intelligence evaluation of coronary computed tomography angiography for coronary stenosis classification and diagnosis.

Dan-Ying LeeChun-Chin ChangChieh-Fu KoYin-Hao LeeYi-Lin TsaiRuey-Hsing ChouTing-Yung ChangShu-Mei GuoPo-Hsun Huang

Published in: European journal of clinical investigation (2023)

The developed AI model identified obstructive CAD, and the model results correlated well with QCA results. Incorporating the model into the reporting system of CCTA may improve workflows.

Keyphrases

artificial intelligence
coronary artery disease
machine learning
coronary artery
deep learning
big data
emergency department
magnetic resonance imaging
magnetic resonance
computed tomography
heart failure
adverse drug
atrial fibrillation
aortic stenosis
electronic health record
drug induced