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 …

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

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

Coronary computed tomography angiography (CCTA) is increasingly the cornerstone in the
management of patients with chronic coronary syndromes. This fact is reflected by current …

Coronary heart disease (CHD) is the leading cause of mortality in the world. Early detection
and treatment of CHD are crucial. Currently, coronary CT angiography (CCTA) has been the …

The technological development of Artificial Intelligence (AI) has grown rapidly in recent
years. The applications of AI to cardiovascular imaging are various and could improve the …

Artificial intelligence (AI) is spreading to every aspect of cardiac imaging, including study
indication, protocol selection, image acquisition and reconstruction, data post-processing …

Healthcare, conceivably more than any other area of human endeavour, has the greatest
potential to be affected by artificial intelligence (AI). This potential has been shown by …

Cardiac CT using non-enhanced coronary artery calcium scoring (CACS) and coronary CT
angiography (cCTA) has been proven to provide excellent evaluation of coronary artery …

Artificial intelligence (AI) refers to the use of computational techniques to mimic human
thought processes and learning capacity. The past decade has seen a rapid proliferation of …