Despite major advancements in cardiovascular medicine, sudden cardiac death (SCD)
continues to be an enormous medical and societal challenge, claiming millions of lives …

Aims This study aimed to investigate the impact of cardiac resynchronization therapy with a
defibrillator (CRT-D) on mortality, comparing it with CRT with a pacemaker (CRT-P) …

Aims This study aims to identify and visualize electrocardiogram (ECG) features using an
explainable deep learning–based algorithm to predict cardiac resynchronization therapy …

This qualitative study employs a thematic network analysis of the literature to explore the
implications and evaluations of the 'Great Reset'. Delving into how complexity theory …

Aims Left ventricular ejection fraction (LVEF) is suboptimal as a sole marker for predicting
sudden cardiac death (SCD). Machine learning (ML) provides new opportunities for …

The wide overlap between the syndromes of chronic kidney disease (CKD) and chronic
heart failure (HF) means that familiarity with the 2021 European Society of Cardiology …

Background Current guidelines recommend considering multiple factors while deciding
between cardiac resynchronization therapy with a defibrillator (CRT-D) or a pacemaker …

This Focus Issue on clinical trials contains the Special Article 'Five critical quality criteria for
artificial intelligence-based prediction models' by Florien van Royen from Utrecht University …

Background Left bundle branch area pacing (LBBAP) has emerged as an alternative to
biventricular pacing (BVP) for cardiac resynchronization therapy (CRT). We aimed to …

Background: Betablockers (BB)/ivabradine titration in fusion CRT pacing (CRTP) is
understudied. Aim: To assess drug optimization using systematic exercise tests (ET) in …