Do plaque-related factors affect the diagnostic performance of an artificial intelligence coronary-assisted diagnosis system? Comparison with invasive coronary angiography.

Jie XuLinli ChenXiaojia WuChuanming LiGuangyong AiYuexi LiuBitong TianDa-Jing GuoZheng Fang

Published in: European radiology (2021)

• AI-CADS can help radiologists quickly assess CCTA and improve diagnostic confidence. • Additional manual interpretation on the basis of AI-CADS is necessary. • The plaque length and CACs will affect the diagnostic performance of AI-CADS.

Keyphrases

artificial intelligence
coronary artery disease
machine learning
big data
deep learning
coronary artery
heart failure
atrial fibrillation
left ventricular
transcatheter aortic valve replacement