This paper is in the following e-collection/theme issue:

Digital Health Reviews (1340) Clinical Information and Decision Making (1452) Artificial Intelligence (1452) Machine Learning (1517) Ophthalmology (50)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57644, first published .
Machine Learning Approaches in High Myopia: Systematic Review and Meta-Analysis

Machine Learning Approaches in High Myopia: Systematic Review and Meta-Analysis

Machine Learning Approaches in High Myopia: Systematic Review and Meta-Analysis

Authors of this article:

Huiyi Zuo1 Author Orcid Image ;   Baoyu Huang1 Author Orcid Image ;   Jian He1 Author Orcid Image ;   Liying Fang1 Author Orcid Image ;   Minli Huang1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Huiyi Zuo   1 , MM ;   Baoyu Huang   1 , MM ;   Jian He   1 , MD ;   Liying Fang   1 , MM ;   Minli Huang   1 , MD

1 Ophthalmology Department, First Affiliated Hospital of GuangXi Medical University, Nanning, China

Corresponding Author:

  • Minli Huang, MD
  • Ophthalmology Department
  • First Affiliated Hospital of GuangXi Medical University
  • No 6 Shuangyong Road, Nanning, Guangxi
  • Nanning, 530000
  • China
  • Phone: 86 0771-5356507
  • Email: 420306@sr.gxmu.edu.cn