Image-based eye photos to study heart blood-vessel risks
Part of Heart & circulation clinical trials.
This study uses deep learning (computer pattern recognition) to analyze retinal photos (pictures of the eye’s blood vessels). It aims to link what’s seen in the eye to heart and blood-vessel disease patterns, especially in people with higher cardiovascular risk.
Summary written for real people, not researchers, by Clin2.
Who can take part
- You must have had a heart attack within the last 5 years, with confirmed significant coronary artery narrowing on a heart test
- OR you have heart failure: reduced pumping (EF under 40%) or preserved pumping with specific blood test and scan results
- OR you have “high-risk” hidden (subclinical) atherosclerosis or related vascular risks, based on imaging/tests like CT, ultrasound, ABI, or plaque measurements
- OR you have high-risk high blood pressure damage or high-risk cholesterol (based on specific lab/scan measures and medication history)
- OR you have diabetes diagnosed more than 5 years (type 2) or more than 10 years (type 1), depending on the type
- OR your blood pressure/cholesterol are controlled and meet the study’s “low risk” definition (limited number of medicines and LDL near target)
Quick eligibility check
Answer a few plain-language questions, based on this study's own requirements, to get a preliminary sense of fit.
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