Coronary artery disease (CAD) remains a leading cause of mortality and morbidity
worldwide, and it is associated with considerable economic burden. In an ageing …

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

Coronary artery disease (CAD) represents one of the most important causes of death around
the world. Multimodality imaging plays a fundamental role in both diagnosis and risk …

Cardiovascular disease is the leading cause of mortality in Western countries and leads to a
spectrum of complications that can complicate patient management. The emergence of …

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 …

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 …

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

The number of people who die each year from cardiac events is steadily increasing. Several
unaddressed needs persist in the field of cardiac care, with coronary artery phenotyping and …

The omnipresence and deep impact of artificial intelligence (AI) in today's society are
undeniable. While the technology has already established itself as a powerful tool in several …

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 …