Combination of mini-camera and AI predicts recurrent heart attack

Measurements with a miniature camera inside the coronary arteries can accurately predict whether someone will suffer a recurrent heart attack. Until now, interpreting these images was so complex that only specialized laboratories could perform it.

A new study from Radboud university medical center shows that AI can reliably take over this analysis and rapidly assess arteries for weak spots. The study has been published in the European Heart Journal.

A heart attack occurs when a coronary artery, which supplies the heart with blood, is blocked by a blood clot. This can occur when atherosclerosis causes artery narrowing, resulting in the heart receiving too little oxygen.

Treatment typically involves angioplasty, where a cardiologist widens the artery with a small balloon, usually followed by the placement of a tiny tube, called a stent. In the Netherlands, this procedure is performed about 40,000 times per year.

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