AI Can Detect Arrhythmia Early, Helping Prevent Cardiac Arrest: Study:

Artificial Intelligence (AI) is increasingly proving its value in the healthcare sector. From early diagnosis to enhanced treatment and patient monitoring, AI is transforming how medical professionals address serious health conditions. In a major development, recent research shows that AI can effectively identify patients suffering from arrhythmia — a life-threatening heart rhythm disorder.

Breakthrough Study Confirms AI’s Ability to Identify Arrhythmia

Researchers from Inserm Paris Cité University and Paris Public Hospitals Group (AP-HP), in collaboration with American scientists, have developed an AI algorithm capable of detecting patients at high risk of dangerous arrhythmia. The findings, soon to be published in the European Heart Journal, mark a significant advancement in preventive cardiology.

The research analyzed over 240,000 ambulatory electrocardiograms (ECGs). The AI model successfully predicted serious arrhythmic events, with over 70% of those predictions involving cardiac arrest risks within just two weeks. Experts regard this development as a potential game-changer in preventing sudden cardiac deaths.

Understanding Arrhythmia and Its Risks

Arrhythmia refers to an irregular heartbeat — it may be too fast, too slow, or inconsistent. While some cases are harmless, others can severely impact heart function and lead to stroke, heart attack, or sudden cardiac arrest. Early identification and management of arrhythmia are critical, and AI now offers a powerful tool for achieving that goal.