In recent years, major advances have been made in the understanding of the cellular and
molecular mechanisms driving pulmonary vascular remodelling in various forms of …

Cardiac MRI is used to diagnose and treat patients with a multitude of cardiovascular
diseases. Despite the growth of clinical cardiac MRI, complicated image prescriptions and …

Objective To validate the newly developed artificial intelligence (AI)-assisted simulation by
evaluating the speed of three-dimensional (3D) reconstruction and accuracy of segmental …

Abstract Purpose of Review The right ventricle (RV) has a complex geometry and physiology
which is distinct from the left. RV dysfunction and failure can be the aftermath of volume …

Aims Increased blood flow eccentricity in the aorta has been associated with aortic (AO)
pathology, however, its association with exercise capacity has not been investigated. This …

Background Despite the potential of artificial intelligence (AI) in enhancing cardiovascular
care, its integration into clinical practice is limited by a lack of evidence on its effectiveness …

Background Cardiac magnetic resonance (CMR) in the four-chamber plane offers
comprehensive insight into the volumetrics of the heart. We aimed to develop an artificial …

Background There has been a rapid increase in the number of Artificial Intelligence (AI)
studies of cardiac MRI (CMR) segmentation aiming to automate image analysis. However …

Background Valvular heart disease and intracardiac shunts can disrupt the balance
between left ventricular (LV) and right ventricular (RV) stroke volumes. However, the …

Introduction Cardiac magnetic resonance (CMR) is of diagnostic and prognostic value in a
range of cardiopulmonary conditions. Current methods for evaluating CMR studies are …