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 …

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 …

Abstract Purpose of Review In this review, we aim to summarize state-of-the-art artificial
intelligence (AI) approaches applied to cardiovascular CT and their future implications …

Atherosclerotic cardiovascular disease (ASCVD) is the most common cause of death
globally. Increasing amounts of highly diverse ASCVD data are becoming available and …

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

Data science is likely to lead to major changes in cardiovascular imaging. Problems with
timing, efficiency, and missed diagnoses occur at all stages of the imaging chain. The …

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 …

Introduction Artificial intelligence (AI) describes the use of computational techniques to
mimic human intelligence. In healthcare, this typically involves large medical datasets being …