Artificial Intelligence (AI) is paving the way for progress in cardiology, researchers are now able to identify patients at risk of severe arrhythmia that can trigger heart arrest and sudden death. According to a new study published in the European Heart Journal, the AI-operated algorithm has demonstrated a remarkable accuracy in predicting these life-dreamed situations.

In collaboration with American researchers, a team of Scientists from the University of Inserm, Paris Cite and Paris Public Hospitals Group (AP-HP) developed an artificial nerve network that mimics the functions of the human brain. Their purpose was to improve the initial identity and prevention of sudden heart death, which is a situation responsible for more than 5 million deadly people worldwide every year.

The study includes analysis of data from more than 240,000 ambulance electrocardiogram (ECG) collected from six countries including the United States, France, UK, South Africa, India and Chechia. The AI ​​algorithm processed millions of hours of heartbeat data, identifying micro -electrical signals, indicating an increased risk of arrhythmia. Researchers focused on the time required for heart ventricle, which is an important factor in assessing heart health, to do electrically active and relaxing during a full heart cycle.

A researcher of the Paris Cardiovascular Research Center (Parcc), Dr. Laurent Fiorina explained, “By examining the electrical heart signals of a patient for 24 hours, we found that AI can identify susceptible individuals to develop a serious arrhythmia within two weeks. Such a situation may move beyond fatal cardiac arrest.”

The AI ​​model demonstrated impressive results, in which more than 70 percent of cases at risk patients were accurately detected, while no-risk individuals were correctly identified with 99.9 percent accuracy. However still under evaluation, technology promises a significant improvement in arrhythmia expectations and prevention.

The success was held in collaboration with the engineers of the study cardiols, a subsidiary of the Philips Group and the experts of the University and Harvard. Taking advantage of AI, researchers were able to identify undesirable warning signs using traditional methods.

If further is valid, this AI-based model can change the heart monitoring. The algorithm may soon be integrated into hospital monitoring systems, which may lead to continuous monitoring of risk patients. In addition, progress in wearable technology can look at its application in the ambulance holter monitor, which tracks blood pressure fluctuations, and even smartwatch offers real-time risk assessment to users.

Moving forward, the research team aims to conduct clinical trials to evaluate the effectiveness of the AI ​​model in real -world conditions. If proves successful, this innovative technique can help in bringing revolution in cardiac care, provides initial warnings and saves countless lives by enabling timely medical intervention.

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