AI-enabled tool predicts likelihood of heart attack

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An artificial intelligence-enabled tool could make it easier to predict if a person will have a heart attack. 

heart attack
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This is the claim of researchers from Cedars-Sinai, Los Angeles, whose tool predicted which patients would experience a heart attack in five years based on the amount and composition of plaque in arteries supplying blood to the heart. The team’s results are described in The Lancet Digital Health.

Plaque build-up can cause arteries to narrow, making it difficult for blood to get to the heart and increasing the likelihood of a heart attack. Currently, a medical test - coronary computed tomography angiography (CTA) - takes 3D images of the heart and arteries and can give doctors an estimate of how much a patient’s arteries have narrowed. Until now, there has not been an automated and rapid way to measure the plaque visible in the CTA images.

"Coronary plaque is often not measured because there is not a fully automated way to do it," said Damini Dey, PhD, director of the quantitative image analysis lab in the Biomedical Imaging Research Institute at Cedars-Sinai and senior author of the study. "When it is measured, it takes an expert at least 25 to 30 minutes, but now we can use this program to quantify plaque from CTA images in five to six seconds."

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Dey and colleagues analysed CTA images from 1,196 people who underwent a coronary CTA at 11 sites in Australia, Germany, Japan, Scotland and the United States. The investigators trained the AI algorithm to measure plaque by having it learn from coronary CTA images, from 921 people, that already had been analysed by doctors.

The algorithm first outlines the coronary arteries in 3D images, then identies the blood and plaque deposits within the coronary arteries. The team found the tool’s measurements corresponded with plaque amounts seen in coronary CTAs. They also matched results with images taken by intravascular ultrasound and catheter-based coronary angiography, which are two invasive tests deemed highly accurate in assessing coronary artery plaque and narrowing.

Finally, the investigators found that measurements made by the AI algorithm from CTA images accurately predicted heart attack risk within five years for 1,611 people who were part of the SCOT-HEART trial.

"More studies are needed, but it’s possible we may be able to predict if and how soon a person is likely to have a heart attack based on the amount and composition of the plaque imaged with this standard test," Dey said in a statement.