AI detects heart attack risk 10 years before symptoms appear

AI detects heart attack risk 10 years before symptoms appear

How it works

The model analyzes subtle deviations in the ECG signal waveform that are invisible to the human eye, identifying patterns statistically associated with future cardiovascular events.

In a study involving a sample of 400,000 patients, the algorithm predicted heart attack and stroke with 91% accuracy up to 10 years in advance.

Why it matters

Early diagnosis allows prevention to begin long before a critical stage — changing lifestyle habits, and managing blood pressure and cholesterol levels.

"This shifts medicine from treating disease to preventing it."— from the research group's publication