AI-enabled eye scans predict heart attacks in less than a minute

According to new research, AI-powered eye scans can predict a person’s risk of heart disease in less than a minute.

Scientists at Kingston University developed an algorithm that measured characteristics on a retinal image. The eye test uses a camera to evaluate features of retinal blood vessels.

The minds behind the AI believe it could lead to more heart screenings for more people without doctors’ appointments for blood pressure measurements and blood tests.

“This method, which would allow wider screening of the population in a non-invasive way that could lead to early preventative treatments for those found to be at greater risk, has considerable potential,” said Sarah Barman, Professor of Computer Vision and postdoctoral researcher Roshan Welikala at Kingston University.

By using an AI-powered imaging tool, more medical professionals can flag the risk of heart attacks and strokes for patients. Such eye scans could be used as a possible predictive biomarker.

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