Cardiovascular disease risk assessment using a deep-learning-based retinal biomarker: a comparison with existing risk scores

AIMS: This study aims to evaluate the ability of a deep-learning-based cardiovascular disease (CVD) retinal biomarker, Reti-CVD, to identify individuals with intermediate- and high-risk for CVD. METHODS AND RESULTS: We defined the intermediate- and high-risk groups according to Pooled Cohort Equatio...

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Detalles Bibliográficos
Autores principales: Yi, Joseph Keunhong, Rim, Tyler Hyungtaek, Park, Sungha, Kim, Sung Soo, Kim, Hyeon Chang, Lee, Chan Joo, Kim, Hyeonmin, Lee, Geunyoung, Lim, James Soo Ghim, Tan, Yong Yu, Yu, Marco, Tham, Yih-Chung, Bakhai, Ameet, Shantsila, Eduard, Leeson, Paul, Lip, Gregory Y H, Chin, Calvin W L, Cheng, Ching-Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232236/
https://www.ncbi.nlm.nih.gov/pubmed/37265875
http://dx.doi.org/10.1093/ehjdh/ztad023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10232236/
https://www.ncbi.nlm.nih.gov/pubmed/37265875
http://dx.doi.org/10.1093/ehjdh/ztad023

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