Researchers have developed an AI that analyses retinal scans to predict the risk of heart attack and stroke. The AI assesses digital retinal photographs, generating personalised risk predictors rapidly. This technology analyses the back of the eye for indicators like blood vessel narrowing, which may reflect similar issues in vessels supplying the heart.
The AI tool was trained using thousands of images and can predict major cardiovascular events within a decade with reasonable accuracy. Combining retinal scan analysis with clinical risk scores and genetic testing further improves prediction accuracy. This non-invasive method could be integrated with routine eye tests, offering early warnings and enabling timely interventions.
By detecting early signs of cardiovascular risk, this technology could help doctors to identify high-risk individuals who may benefit from medication or lifestyle changes. Monitoring changes in risk scores over time could also provide valuable insights into a person's heart health.
