Latest AI and machine learning research in arrhythmias for healthcare professionals.
Artificial intelligence applied to electrocardiography (AI-ECG) can derive a heart age or ECG-age, p...
Cardiac amyloidosis (CA) is an underdiagnosed infiltrative cardiomyopathy associated with poor outco...
Many ECG-AI models have been developed to predict a wide range of cardiovascular outcomes. The under...
Advancements in artificial intelligence have enabled estimation of cardiac age from raw ECG waveform...
Traditional ECG criteria for left ventricular hypertrophy (LVH) have modest diagnostic yield. Develo...
Sudden cardiac death (SCD) in young individuals—especially athletes—remains difficult to diagnose du...
This study presents a novel two-stage framework to enhance the reliability of resting electrocardiog...
Rapid identification and localization of an acute coronary occlusion are vital to prevent myocardial...
Objective assessment of left ventricular function remains a key prognosticator that is used to guide...
Postoperative atrial fibrillation (POAF) affects 20 to 50% of patients undergoing cardiac surgery an...
Deep neural networks can convert ECG page images into analyzable waveforms, yet centralized training...
Cardiovascular disease (CVD) remains the primary cause of mortality worldwide, with higher fatality ...
The wide availability of labeled electrocardiogram (ECG) data has driven major advances in artificia...
Cardiac biological aging results in vascular, structural, and electrical changes that account for ag...
Premature ventricular contractions (PVCs) are common in patients with and without structural heart d...
Artificial intelligence (AI) applied to routine electrocardiograms (ECGs) offers promise for screeni...
Diastolic dysfunction is a precursor to heart failure with preserved ejection fraction (HFpEF), and ...
Abnormal cardiac atrial structure and function (atrial cardiopathy)1 typically precedes atrial fibri...
Left ventricular filling pressure (LVFP) is associated with heart failure symptoms, a key prognostic...
In cardiology, the classification of electrocardiograms (ECGs) or heartbeats serves as a vital instr...
Three-dimensional (3D) electrocardiography (ECG) is a recent methodological advance that extends the...