Fully automated artificial intelligence-based coronary CT angiography image processing: efficiency, diagnostic capability, and risk stratification.

Yaping ZhangYan FengJianqing SunLu ZhangZhenhong DingLingyun WangKeke ZhaoZhijie PanQingyao LiNing GuoXueqian Xie

Published in: European radiology (2024)

• Coronary CT angiography (CCTA) relies heavily on high-quality and fast image processing. • Full-automation CCTA image processing is clinically non-inferior to the semi-automated mode. • Full automation can facilitate the application of CCTA in early detection of coronary artery disease.

Keyphrases

deep learning
artificial intelligence
coronary artery disease
machine learning
big data
coronary artery
percutaneous coronary intervention
cardiovascular events
coronary artery bypass grafting
type diabetes
aortic stenosis
high throughput
aortic valve
ejection fraction