Noninvasive Coronary Artery Disease Detection Using Retinal Images
Our findings suggest that retinal images and vasculature may provide useful information for CAD detection. Retinal imaging offers a noninvasive clinical risk factor and holds promise for developing new diagnostic tools. (Exploring the Application of AI-based Fundus Imaging in Risk Stratification and Risk Assessment Models for Coronary Heart Disease; ChiCTR2400092720).
Authors
- Xiao-yu Dong (ORCID: https://orcid.org/0009-0008-4306-5273)
- Kun Huang (ORCID: https://orcid.org/0000-0001-8550-4571)
- Songtao Yuan (ORCID: https://orcid.org/0000-0001-9212-0664)
- Bing Xu (ORCID: https://orcid.org/0000-0002-2903-578X)
- Yuchen Wen (ORCID: https://orcid.org/0009-0003-1891-6543)
- Na Su (ORCID: https://orcid.org/0000-0002-6855-8321)
- Xiaohui Li (ORCID: https://orcid.org/0000-0002-7320-4958)
- Mingming Zhang (ORCID: https://orcid.org/0000-0002-4929-1465)
- Shuo Li (ORCID: https://orcid.org/0000-0003-0300-1298)
- Qiang Chen (ORCID: https://orcid.org/0000-0002-7266-8195)
- Leilei Chen (ORCID: https://orcid.org/0000-0002-3362-0076)
- Junhong Wang (ORCID: https://orcid.org/0000-0003-2314-1810)
Institutions
- Nanjing University of Science and Technology (CN)
- 81th Hospital of PLA (CN)
- Northern Jiangsu People's Hospital (CN)
- Jiangsu Province Hospital (CN)
- Qujiang People's Hospital (CN)
- Chongqing Dazu District People's Hospital (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- JACC Advances
- Published
- 2025-11-20
- DOI
- https://doi.org/10.1016/j.jacadv.2025.102341
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00