A Novel Artificial Intelligence-Based Classification of Highly Myopic Eyes Based on Visual Function and Fundus Features.

Journal: Translational vision science & technology
PMID: 39235401

Abstract

PURPOSE: To develop a novel classification of highly myopic eyes using artificial intelligence (AI) and investigate its relationship with contrast sensitivity function (CSF) and fundus features.

Authors

  • Jiaqi Meng
    Eye Institute, Eye and Ear, Nose, and Throat Hospital of Fudan University, Shanghai, China.
  • Yunxiao Song
    Department of Clinical Laboratory, Shanghai Xuhui Central Hospital, Fudan University, Shanghai, China. xzxsh@sina.com.
  • Wenwen He
    Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
  • Zhong-Lin Lu
  • Yuxi Chen
    Eye Institute, Eye and Ear, Nose, and Throat Hospital of Fudan University, Shanghai, China.
  • Ling Wei
    College of Foreign Languages, Chongqing College of Mobile Communication, Chongqing, China.
  • Keke Zhang
    State Key Laboratory of Oral Diseases, Sichuan University, Chengdu, China.
  • Jiao Qi
    Eye Institute, Eye and Ear, Nose, and Throat Hospital of Fudan University, Shanghai, China.
  • Yu Du
    State Key Lab of CAD&CG, College of Computer Science and Technology, Zhejiang University, Hangzhou, China.
  • Yi Lu
    Department of Gastrointestinal Endoscopy, The Sixth Affiliated Hospital, Sun Yat-Sen University, 26th Yuancun the Second Road, Guangzhou, 510655, Guangdong Province, China.
  • Xiangjia Zhu

Keywords

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