Predicting CT-Based Coronary Artery Disease Using Vascular Biomarkers Derived from Fundus Photographs with a Graph Convolutional Neural Network

The study population contains 145 patients who were prospectively recruited for coronary CT angiography (CCTA) and fundoscopy. This study first examined the association between retinal vascular changes and the Coronary Artery Disease Reporting and Data System (CAD-RADS) as assessed on CCTA. Then, we...

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Detalles Bibliográficos
Autores principales: Huang, Fan, Lian, Jie, Ng, Kei-Shing, Shih, Kendrick, Vardhanabhuti, Varut
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221688/
https://www.ncbi.nlm.nih.gov/pubmed/35741200
http://dx.doi.org/10.3390/diagnostics12061390

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9221688/
https://www.ncbi.nlm.nih.gov/pubmed/35741200
http://dx.doi.org/10.3390/diagnostics12061390

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