Artificial intelligence (AI) and machine learning (ML) in medicine are currently areas of
intense exploration, showing potential to automate human tasks and even perform tasks …

Machine learning (ML), a branch of artificial intelligence, where machines learn from big
data, is at the crest of a technological wave of change sweeping society. Cardiovascular …

Sudden cardiac death from arrhythmia is a major cause of mortality worldwide. In this study,
we developed a novel deep learning (DL) approach that blends neural networks and …

Ischemic heart disease is the most common cause of lethal ventricular arrhythmias and
sudden cardiac death (SCD). In patients who are at high risk after myocardial infarction …

Aims Most patients who receive implantable cardioverter defibrillators (ICDs) for primary
prevention do not receive therapy during the lifespan of the ICD, whilst up to 50% of sudden …

Survivors of myocardial infarction are at risk of life-threatening ventricular tachycardias (VTs)
later in their lives. Current guidelines for implantable cardioverter defibrillators (ICDs) …

Sudden cardiac arrest due to lethal ventricular arrhythmias is a major cause of mortality
worldwide and results in more years of potential life lost than any individual cancer. Most of …

Ventricular arrhythmias are the primary cause of sudden cardiac death and one of the
leading causes of mortality worldwide. Whole-heart computational modeling offers a unique …

Background Conventional ECG-based algorithms could contribute to sudden cardiac death
(SCD) risk stratification but demonstrate moderate predictive capabilities. Deep learning …

Background and objectives: Little is known about outcome improvements and disparities in
cardiac arrest and active cancer. We performed the first known AI and propensity score (PS) …