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

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

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 …

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 …

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 …

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

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

Coronary artery disease is a leading cause of death worldwide. There has been a myriad of
advancements in the field of cardiovascular imaging to aid in diagnosis, treatment, and …

Abstract Purpose of Review Artificial intelligence (AI) applications in (interventional)
cardiology continue to emerge. This review summarizes the current state and future …

Artificial Intelligence (AI) is a broad discipline of computer science and engineering. Modern
application of AI encompasses intelligent models and algorithms for automated data …