AI Technology Foresees Heart Disease Risk Years Ahead

Researchers have developed an artificial intelligence model capable of analyzing the electrical activity of the heart during sleep and predicting the risk of developing cardiovascular diseases and mortality over the next ten years. The study showed that a high risk score according to the model is associated with increased chances of atrial fibrillation by between 103% and 172%, stroke by 19% to 40%, heart failure by 69% to 133%, and overall death by 65% to 82%. Additionally, data obtained from sleep electrocardiograms improved the accuracy of the predictions, which could help identify individuals who require more proactive health monitoring. However, the research still needs further evaluation to determine the actual contribution of this technique compared to traditional methods before it can be adopted in clinical practice.

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