Artificial intelligence (AI) and machine learning (ML) have emerged as transformative forces in the field of cardiovascular medicine. The increasing ...

Researchers at the University of Pennsylvania have developed CAMEL, an AI model that can forecast cardiac arrest 10 to 15 minutes before it occurs by analyzing ECG patterns like language. The system ...

At the Heart Rhythm Society 2026 meeting, researchers unveiled AI-powered algorithms capable of detecting atrial fibrillation (AF) with over 90% accuracy, even in cases where traditional ECG ...

A new McGill-led study reveals that digital brain exercises can rejuvenate aging brain systems responsible for learning and memory. Older adults using BrainHQ for 10 weeks showed restored cholinergic ...

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