Artificial Intelligence Can Predict Heart Attacks 5–10 Years in Advance

Cardiology has gained a powerful new tool — artificial intelligence capable of predicting the likelihood of a heart attack long before the first symptoms arise. The algorithm analyzes coronary vessel imaging, genetic markers, and biochemical blood indicators to detect hidden risks that traditional diagnostics often miss.

In clinical tests, the system demonstrated an accuracy of over 90%, significantly outperforming standard risk assessment methods. This means doctors can identify patients at high risk years before they would otherwise experience chest pain, arrhythmias, or other warning signs. Early identification opens the door to preventive treatments that can save thousands of lives by stopping complications before they occur.

The AI-driven approach marks a shift from generalized treatment plans to personalized prevention. Instead of universal recommendations, each patient receives an individualized program: dietary adjustments, changes in physical activity, and, when necessary, medications that reduce plaque formation or stabilize blood pressure. This personalized strategy has the potential to reduce the number of heart attacks in the population by tens of percent.

Another major advantage of the technology is continuous monitoring. The algorithm can assess changes in a patient’s health over months, detecting whether their condition is improving or deteriorating. This is especially valuable for individuals with hypertension, diabetes, or a family history of cardiovascular disease.

Developers emphasize that AI is not meant to replace cardiologists but to enhance their capabilities. By processing huge amounts of medical data quickly and accurately, it helps doctors make better-informed decisions and intervene earlier. Widespread adoption of this technology in hospitals worldwide could dramatically reduce mortality from heart attacks.

If these advancements continue, medicine may soon be able to predict many cardiovascular disorders long before they develop — making prevention far more effective and accessible.