Please provide your email address to receive an email when new articles are posted on . One in five people aged 35 years or younger demonstrate ECG patterns indicative of underlying cardiac disease, ...
At the Heart Rhythm Society 2026 meeting, researchers presented an AI-powered ECG analysis tool that detects atrial fibrillation (AF) with over 90% accuracy. The system can identify both present and ...
At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...
Numerous factors can contribute to sudden cardiac death, from underlying disease after myocardial infarction to genetic variants that can claim young lives. In 'Bedside to Bench', Stanley Nattel ...
Although premature ventricular beats (PVBs) in young people and athletes are usually benign, they may rarely mark underlying heart disease and risk of sudden cardiac death during sport. This review ...
Artificial intelligence (AI) may be an aid to interpreting ECG results, helping healthcare staff to diagnose diseases that affect the heart. Researchers at Uppsala University and heart specialists in ...
The electrocardiogram (ECG) has been a cornerstone of cardiac diagnostics for over a century. A straightforward test involving electrodes and waveforms, it offers vital insights into the heart’s ...
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