Deep Learning of Retinal Photographs and Atherosclerotic Cardiovascular Disease

Recruiting Observational Study
Cardiovascular Disease
Healthy Volunteers Welcome You do not need to have the condition being studied to take part. No Study Drug Researchers observe your health over time — no experimental treatment is given.
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At a Glance
Age
20 – 79
Sex
Any
Study type
Observational
Participants needed
2,400 (estimated)
Sponsor
Yonsei University · Other
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About This Trial
The research team has developed a deep learning algorithm that predicts anthropometric factors from fundus photographs and an algorithm that predicts cardiovascular disease risk. Fundus photographs are taken for various cardiovascular diseases (myocardial infarction, heart failure, hypertension with target organ damage, high-risk dyslipidemia, diabetic patients, and low-risk hypertension patients)…
Trial Locations
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Eligibility Criteria
Inclusion Criteria: 1. Myocardial infarction (Patients diagnosed with myocardial infarction within 5 years and confirmed significant coronary artery stenosis by cardiovascular angiography) 2. Heart failure with reduced EF (\<40% of LVEF on echocardiography or magnetic resonance imaging) 3. Heart fa…
Contacts

Sungha Park

+82-2228-8460

shpark0530@yuhs.ac

CONTACT