Quantitative analysis of retinal vascular parameters changes in school-age children with refractive error using artificial intelligence

Quantitative analysis of retinal vascular parameters changes in school-age children with refractive error using artificial intelligence

AimTo quantitatively analyze the relationship between spherical equivalent refraction (SER) and retinal vascular changes in school-age children with refractive error by applying fundus photography combined with artificial intelligence (AI) technology and explore the structural changes in retinal vas...

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Bibliographic Details
Main Authors: Linlin Liu, Lijie Zhong, Linggeng Zeng, Fang Liu, Xinghui Yu, Lianfeng Xie, Shuxiang Tan, Shuang Zhang, Yi-Ping Jiang
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-12-01
Series:Frontiers in Medicine
Subjects:
artificial intelligence
quantitative analysis
ametropia
retinal vascular changes
school-age children
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2024.1528772/full
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