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

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 …

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

Background Quantitative coronary angiography (QCA) offers objective and reproducible
measures of coronary lesions. However, significant inter-and intra-observer variability and …

Background Angiographic parameters can facilitate the risk stratification of coronary lesions
but remain insufficient in the prediction of future myocardial infarction (MI). AIMS We …

Artificial Intelligence (AI) is the simulation of human intelligence in machines so they can
perform various actions and execute decision-making. Machine learning (ML), a branch of …

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 …

Objectives To determine whether coronary computed tomography angiography (CCTA)
scanning, scan preparation, contrast, and patient based parameters influence the diagnostic …

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

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