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Related Experiment Video

Updated: Mar 10, 2026

Detecting Abnormalities in Choroidal Vasculature in a Mouse Model of Age-related Macular Degeneration by Time-course Indocyanine Green Angiography

Detecting Abnormalities in Choroidal Vasculature in a Mouse Model of Age-related Macular Degeneration by Time-course Indocyanine Green Angiography

Published on: February 19, 2014

Central Serous Chorioretinopathy is Associated with Increased Cardiovascular Risk: An Artificial Intelligence-Based

Jungkyung Cho¹, Rim Kyung Hong², So Jung Ryu³

¹Seoul National University College of Medicine, Seoul, South Korea.

Ophthalmic Epidemiology

|March 9, 2026

Summary

Central serous chorioretinopathy (CSC) is linked to increased cardiovascular disease (CVD) risk. An AI tool analyzing retinal images found higher CVD risk scores in CSC patients, suggesting a connection to systemic vascular issues.

Keywords:

Artificial intelligence cardiovascular disease central serous chorioretinopathy pachychoroid systemic vascular pathology

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Detecting Abnormalities in Choroidal Vasculature in a Mouse Model of Age-related Macular Degeneration by Time-course Indocyanine Green Angiography

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Fundus Photography as a Convenient Tool to Study Microvascular Responses to Cardiovascular Disease Risk Factors in Epidemiological Studies

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Published on: October 22, 2014

Area of Science:

Ophthalmology
Cardiology
Artificial Intelligence

Background:

The relationship between central serous chorioretinopathy (CSC) and cardiovascular disease (CVD) risk remains unclear.
Novel biomarkers are needed to assess this association.

Purpose of the Study:

To investigate the association between CSC and CVD risk using an artificial intelligence (AI)-based retinal biomarker.
To evaluate the utility of a novel AI software in predicting CVD risk in CSC patients.

Main Methods:

A retrospective study included 109 CSC patients and 1028 non-CSC controls.
A validated AI software (Dr.Noon CVD) analyzed retinal images to generate a five-year CVD risk score.
Inverse probability of treatment weighting (IPTW) was used for balancing, followed by weighted t-tests and multivariable linear regression.

Main Results:

The mean AI-derived CVD risk score was significantly higher in the CSC group compared to controls (32.26 vs. 29.87, p=0.024) after IPTW.
CSC was independently associated with a 2.14-point increase in the CVD risk score (p<0.001) in the weighted multivariable regression model.

Conclusions:

CSC is associated with a higher AI-derived cardiovascular risk score.
These findings suggest CSC may be an ocular manifestation of systemic vascular pathology.
Diagnosis of CSC warrants a comprehensive cardiovascular health assessment.