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

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 ...

Schematic representation of the ECG-LM model, a multi-modal large language model for cardiovascular diagnostics. The model integrates ECG data with patient information, offering accurate and ...

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 ...

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 ...

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 ...