Purpose To describe and outline the role of artificial intelligence (AI) in assisting coronary
computed tomography angiography (CCTA) in enhancing risk stratification. Methods A …

Cardiac computed tomography angiography (CCTA) is widely used as a diagnostic tool for
evaluation of coronary artery disease (CAD). Despite the excellent capability to rule‐out …

Background Atherosclerosis evaluation by coronary computed tomography angiography
(CCTA) is promising for coronary artery disease (CAD) risk stratification, but time consuming …

Objectives To determine whether coronary computed tomography angiography (CCTA)
scanning, scan preparation, contrast, and patient based parameters influence the diagnostic …

Purpose Recent guidelines provide broader support for the use of less invasive imaging
modalities for the evaluation of patients with stable chest pain. Coronary CT angiography …

Objective The study evaluates the relationship of coronary stenosis, atherosclerotic plaque
characteristics (APCs) and age using artificial intelligence enabled quantitative coronary …

Background The recent development of artificial intelligence–guided quantitative coronary
computed tomography angiography analysis (AI-QCT) has enabled rapid analysis of …

Artificial intelligence (AI) is likely to revolutionize the way medical images are analysed and
has the potential to improve the identification and analysis of vulnerable or high-risk …

At present, artificial intelligence (AI) has already been applied in cardiovascular imaging (eg,
image segmentation, automated measurements, and eventually, automated diagnosis) and …

Cardiovascular disease (CVD) is associated with high mortality around the world.
Prevention and early diagnosis are key targets in reducing the socio-economic burden of …