At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

Using artificial intelligence (AI) to analyze electrocardiograms (ECG) improved detection of severe heart attacks, including those that presented with unconventional symptoms, or atypical ECG patterns ...

Potentially Pathological ECG Patterns Prevalent in Young More than 20% of young non-athletes have electrocardiogram (ECG) patterns that can be considered potentially pathological. (HealthDay News) — ...

Using artificial intelligence (AI) to analyze electrocardiograms (ECG) improved detection of severe heart attacks, including those that presented with unconventional symptoms, or atypical ECG patterns ...

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 an electrophysiology meeting one would expect a lot of interest in the high-tech and cutting edge. Yet one constant I find at European meetings is the popularity of sports cardiology, a decidedly ...

At the 2026 Heart Rhythm Society meeting, researchers presented evidence that AI-powered ECG analysis can detect atrial fibrillation (AF) with over 90% accuracy, even during normal heart rhythm. By ...

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 ...