Systematic review and meta-analysis of artificial intelligence models for strabismus screening: methodological insights and future directions.

Journal: International journal of surgery (London, England)
Published Date: Jul 23, 2025

Abstract

BACKGROUND: An increasing number of studies apply artificial intelligence (AI) techniques to strabismus detection to support clinical diagnosis. However, there is no quantitative synthesis of performance of these methods. This systematic review and meta-analysis evaluate the diagnostic performance of AI models for strabismus screening.

Authors

  • Zeyi Yang
    Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China.
  • Dawen Wu
    Université Paris-Saclay, CNRS, CentraleSupélec, Laboratoire des signaux et systèmes, 3, rue Joliot Curie, 91190 Gif-sur-Yvette, France. Electronic address: dawen.wu@centralesupelec.fr.
  • Jingwen Li
    Cloud Computing and Big Data Research Institute, China Academy of Information and Communications Technology, People's Republic of China.
  • Xiaohang Chen
    Department of Ophthalmology, West China Hospital, Sichuan University, 37 Guoxue Xiang (Alley), Chengdu, Sichuan Province, 610041, China, 86 18980601759.
  • Longqian Liu
    Department of Optometry and Vision Sciences, West China School of Medicine, Sichuan University, Chengdu 610041, China.

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