Quantitative assessment of colour fundus photography in hyperopia children based on artificial intelligence.

Journal: BMJ open ophthalmology
PMID:

Abstract

OBJECTIVES: This study aimed to quantitatively evaluate optic nerve head and retinal vascular parameters in children with hyperopia in relation to age and spherical equivalent refraction (SER) using artificial intelligence (AI)-based analysis of colour fundus photographs (CFP).

Authors

  • Ruiyu Luo
    Ophthalmic Center State Key Laboratory of Ophthalmology, Sun Yat-Sen University Zhongshan, Guangzhou, Guangdong, China.
  • Zhirong Wang
    Department of Cardiovascular Disease, Cangzhou Hospital of Integrated Traditional Chinese and Western Medicine, Cangzhou, PR China.
  • Zhidong Li
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, World Health Organization Collaborating Center for Eye Care and Vision, Guangzhou, China.
  • Rui Xie
    Department of Statistics and Data Science, University of Central Florida, Orlando, FL 32816 USA.
  • Yuan Zhang
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Guitong Ye
    Ophthalmic Center State Key Laboratory of Ophthalmology, Sun Yat-Sen University Zhongshan, Guangzhou, Guangdong, China.
  • Jianqi Chen
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, World Health Organization Collaborating Center for Eye Care and Vision, Guangzhou, China.
  • Yue Xiao
    School of Mechanical Engineering, Nanchang Institute of Technology, Nanchang, Jiangxi 330099, China.
  • Jinan Zhan
    Ophthalmic Center State Key Laboratory of Ophthalmology, Sun Yat-Sen University Zhongshan, Guangzhou, Guangdong, China.
  • Yingting Zhu
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, World Health Organization Collaborating Center for Eye Care and Vision, Guangzhou, China.
  • Yehong Zhuo
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, World Health Organization Collaborating Center for Eye Care and Vision, Guangzhou, China.