Actively Recruiting
Deep Learning of Retinal Photographs and Atherosclerotic Cardiovascular Disease
Led by Yonsei University · Updated on 2021-02-11
2400
Participants Needed
1
Research Sites
469 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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), and a deep learning algorithm for predicting developed anthropometric factors will be validated. Fundus photographs will also be taken twice in the first year, and additional fundus photographs will be taken two years later. Major cardiovascular events will be followed up for 5 years to verify the deep learning algorithm predicting cardiovascular disease risk prospectively.
CONDITIONS
Official Title
Deep Learning of Retinal Photographs and Atherosclerotic Cardiovascular Disease
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Adults aged 20 to 79 years
- Diagnosed with myocardial infarction within 5 years confirmed by cardiovascular angiography
- Heart failure with reduced ejection fraction (less than 40% LVEF on echocardiography or MRI)
- Heart failure with preserved ejection fraction (40% or more LVEF, NT-proBNP 200 pg/mL or higher, and specific heart measurements)
- High risk subclinical atherosclerosis with specific artery narrowing or plaques detected by imaging or tests
- Hypertension with target organ damage defined by proteinuria, heart changes, blood vessel stiffness, kidney function decline, or brain MRI findings
- High risk dyslipidemia with LDL-cholesterol above certain levels despite statin use
- Type 2 diabetes for more than 5 years or type 1 diabetes for more than 10 years
- Low risk hypertension controlled by 3 or fewer drugs or dyslipidemia controlled below target LDL levels
You will not qualify if you...
- Serious eye diseases that prevent obtaining good quality fundus photographs
- Inability to read and sign the consent form in person
AI-Screening
AI-Powered Screening
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Trial Site Locations
Total: 1 location
1
Yonsei University College of Medicine
Seoul, South Korea, 03722
Actively Recruiting
Research Team
S
Sungha Park
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
0
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