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,...
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Read Full ArticleRoutine eye scan 'could predict 10-year heart attack and stroke risk', University of Dundee study suggests
Researchers used artificial intelligence (AI) to analyse digital retinal photographs, with the technology able to produce personalised risk predictors in less than a second.
·United Kingdom
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