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 …

Background Segmentation of cardiac structures is an important step in evaluation of the
heart on imaging. There has been growing interest in how artificial intelligence (AI) methods …

There are numerous artificial intelligence tools being developed to identify and quantify
many clinically relevant parameters in both pulmonary hypertension and related disease …

The clinical spectrum of atrial fibrillation means that a patient-individualized approach is
required to ensure optimal treatment. Cardiac computed tomography can accurately …

Background and objective Strain analysis provides insights into myocardial function and
cardiac condition evaluation. However, the anatomical characteristics of left atrium (LA) …

Background Accurate chamber volumetry from gated, non-contrast cardiac CT (NCCT)
scans can be useful for potential screening of heart failure. Objectives To validate a new …

Background Coronary artery calcium (CAC) scans contain actionable information beyond
CAC scores that is not currently reported. Methods We have applied artificial intelligence …

Rationale and Objectives Coronary CT angiography (CCTA) is mandatory before
transcatheter aortic valve replacement (TAVR). Our objective was to evaluate the efficacy of …

Background: Coronary artery calcium (CAC) scans contain actionable information beyond
CAC scores that is not currently reported. Methods: We have applied artificial intelligence …

Background This study aimed to determine whether artificial intelligence (AI)–based
automated assessment of left atrioventricular coupling index (LACI) can provide incremental …