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

Journal: Frontiers in medicine
Published Date: Dec 31, 2024

Abstract

AIM: To 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 vasculature in these children.

Authors

  • Linlin Liu
    Hengyang Medical School, School of Nursing, University of South China, Hengyang, People's Republic of China.
  • Lijie Zhong
    Postgraduates at the First Clinical Medicine of Gannan Medical University, Ganzhou, Jiangxi, China.
  • Linggeng Zeng
    Postgraduates at the First Clinical Medicine of Gannan Medical University, Ganzhou, Jiangxi, China.
  • Fang Liu
    The First Clinical Medical College of Gannan Medical University, Ganzhou 341000, Jiangxi Province, China.
  • Xinghui Yu
    Postgraduates at the First Clinical Medicine of Gannan Medical University, Ganzhou, Jiangxi, China.
  • Lianfeng Xie
    The Department of Ophthalmology of the First Affiliated Hospital, Gannan Medical University, Ganzhou, Jiangxi, China.
  • Shuxiang Tan
    The Department of Ophthalmology of the First Affiliated Hospital, Gannan Medical University, Ganzhou, Jiangxi, China.
  • Shuang Zhang
    The Department of Ophthalmology of the First Affiliated Hospital, Gannan Medical University, Ganzhou, Jiangxi, China.
  • Yi-Ping Jiang
    The Department of Ophthalmology of the First Affiliated Hospital, Gannan Medical University, Ganzhou, Jiangxi, China.

Keywords

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