Coronary artery disease is a major cause of morbidity and mortality worldwide. Its underlying
histopathology is the atherosclerotic plaque, which comprises lipid, fibrous and—when …

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

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 …

Arterial plaque rupture and thrombosis is the primary cause of major cardiovascular and
neurovascular events. The identification of atherosclerosis, especially high-risk plaques, is …

The recent technological developments in the field of cardiac imaging have established
coronary computed tomography angiography (CCTA) as a first-line diagnostic tool in …

Abstract Purpose of Review This paper investigates present uses and future potential of
artificial intelligence (AI) applied to intracoronary imaging technologies. Recent Findings …

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 …

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

Vascular tissue characterization is of great importance concerning the possibility of an Acute
Cardiac Syndrome (ACS). Gray-scale intravascular ultrasound (IVUS) is a powerful …

Detection of different classes of atherosclerotic plaques is important for early intervention of
coronary artery diseases. However, previous methods focused either on the detection of a …