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AI uses voice biomarkers to predict heart diseases

Updated: May 18, 2022

An artificial intelligence (AI)-based computer algorithm accurately predicted a person’s likelihood of suffering heart problems related to clogged arteries based on voice recordings alone, in a study presented at the American College of Cardiology’s 71st Annual Scientific Session.

Researchers found that people with a high voice biomarker score were 2.6 times more likely to suffer major problems associated with coronary artery disease (CAD), a buildup of plaque in the heart’s arteries, and three times more likely to show evidence of plaque buildup in medical tests compared with those who had a low score. While the technology is not yet ready for use in the clinic, the demonstration suggests voice analysis could be a powerful screening tool in identifying patients who may benefit from closer monitoring for CAD-related events. Researchers said this approach could be particularly useful in remote health care delivery and telehealth.



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