Latest AI and machine learning research in arrhythmias for healthcare professionals.
BACKGROUND: Preoperative cardiovascular risk stratification is essential in noncardiac surgery, but ...
BACKGROUND: Prognostic assessment in secondary care settings remains challenging and may influence c...
BACKGROUND: Frailty is common yet underdiagnosed in elderly patients with atrial fibrillation (AF), ...
AIMS: Social isolation (SI) is associated with a higher risk of cardiovascular disease (CVD). One me...
BACKGROUND: Hypertrophic cardiomyopathy (HCM) is often diagnosed late, increasing avoidable risk and...
BACKGROUND: Heart failure (HF) is a leading cause of hospitalization and readmission. Cardiac implan...
BACKGROUND: Accurate prehospital trauma triage and communication determine morbidity, mortality, and...
OBJECTIVE: Deep learning has advanced electrocardiogram (ECG) analysis but remains difficult to inte...
BACKGROUND: Atrial fibrillation (AF) is the most prevalent sustained arrhythmia, yet tools for predi...
BACKGROUND: Cardiac amyloidosis (CA) is an under-recognized cause of left-ventricular hypertrophy (L...
BACKGROUND: Mitral regurgitation (MR), one of the most common valvular heart diseases, poses ongoing...
In this paper, we present a powerful, compact electrocardiogram (ECG) classification algorithm for c...
BACKGROUND: Low peak oxygen consumption (V̇O2) is associated with higher cardiovascular and all-caus...
Electrocardiogram (ECG) signals play a critical role in the early detection of cardiac arrhythmias, ...
Idiopathic ventricular fibrillation (IVF) affects 5-10% of out-of-hospital cardiac arrest survivors,...
BACKGROUND: Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, and thei...
BACKGROUND: Early and reliable predictions of elevated cardiac troponin levels from electrocardiogra...
BACKGROUND AND OBJECTIVE: Deep learning offers high diagnostic accuracy but often lacks interpretabi...
BACKGROUND: Acute coronary syndrome (ACS) remains a leading cause of morbidity and mortality worldwi...
Heterogeneity within healthy biomedical populations can degrade disease-classification performance b...
BACKGROUND: Large language models (LLMs) demonstrate potential in the laboratory, yet rigorous clini...