Automatic quantitative analysis of myopia-related ocular fundus morphological parameters based on artificial intelligence
10.3980/j.issn.1672-5123.2026.5.26
- VernacularTitle:基于人工智能技术的近视相关眼底形态参数自动定量分析
- Author:
Ting LI
1
;
Panpan XIAO
1
;
Yonghua GU
1
;
Fangxia ZHANG
1
;
Xizhen GUO
1
;
Xiaolin CHEN
1
;
Hui YANG
1
;
Shuang ZHANG
1
Author Information
1. People's Hospital of Ningxia Hui Autonomous Region;Affiliated Autonomous Region People's Hospital of Ningxia Medical University, Yinchuan 750001, Ningxia Hui Autonomous Region, China; Department of Ophthalmology, General Hospital of Ningxia Medical University, Yinchuan 750004, Ningxia Hui Autonomous Region, China
- Publication Type:Journal Article
- Keywords:
high myopia;
AI-powered quantitative fundus analysis system;
color fundus photography;
optic disc morphology;
retinal vessels
- From:
International Eye Science
2026;26(5):888-895
- CountryChina
- Language:Chinese
-
Abstract:
AIM:To automatically identify and quantitatively assess myopia-related fundus structural changes by combining non-mydriatic color fundus photography with an artificial intelligence(AI)-powered quantitative fundus analysis system and to further analyze the correlations between these fundus parameters and spherical equivalent(SE), axial length(AL), and age, providing the objective basis for monitoring myopia progression and supporting the formulation of personalized myopia prevention and control strategies. METHODS:A cross-sectional study was conducted enrolling myopic patients aged 18-50 y who underwent myopia screening from March 2023 to December 2023. Patients were stratified into three groups based on SE: the -3.00 D
