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Routine eye scan 'could predict 10-year heart attack and stroke risk', University of Dundee study suggests

DUNDEE CITY, SCOTLAND, JUL 16 – The AI tool analyzes retinal scans with 70% accuracy to identify cardiovascular risk factors, aiming to enhance early prevention of heart attacks and strokes in routine health checks.

  • Soon, routine retinal images could predict 10-year heart attack and stroke risk, according to researchers at the University of Dundee.
  • Researchers at the University of Dundee published in Cardiovascular Diabetology last month, trialling AI on digital retinal photographs of people with type 2 diabetes.
  • Seventy percent accuracy, personalised predictions in under a second and initial vessel narrowing or blockage detection.
  • Professor Bryan Williams, chief scientific and medical officer at the British Heart Foundation, said `the AI could play a role in improving risk prediction`, while at-risk individuals could be referred to a GP for medication.
  • Amid the Government’s 10 Year Health Plan, researchers hope smartphone alerts and routine checks alongside blood pressure and cholesterol tests will aid early intervention.
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Technology innovation in medicine allows a simple eye examination to prevent the risk of an individual suffering from a heart attack or AVC in the next decade. An investigation by the University of Dundee,...

·Portugal
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Routine eye scan could predict 10-year heart attack and stroke risk

Researchers used artificial intelligence to analyse digital retinal photographs, which are taken to capture images from the back of the eye.

·London, United Kingdom
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The Independent broke the news in London, United Kingdom on Wednesday, July 16, 2025.
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