Prediction of Visual Outcome After Rhegmatogenous Retinal Detachment Surgery Using Artificial Intelligence Techniques.

Journal: Translational vision science & technology
PMID: 38776109

Abstract

PURPOSE: This study aimed to develop artificial intelligence models for predicting postoperative functional outcomes in patients with rhegmatogenous retinal detachment (RRD).

Authors

  • Hui Guo
    Health Sciences and Innovation, Surrey Memorial Hospital, Fraser Health Authority, Surrey, BC, Canada.
  • Chubin Ou
    Faculty of Medicine and Health, Macquarie University, 75 Talavera Road, Sydney, Australia.
  • Guangyi Wang
    Center of Marine Environmental Ecology, School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China; Key Laboratory of Systems Bioengineering (Ministry of Education), Tianjin University, Tianjin 300072, China. Electronic address: gywang@tju.edu.cn.
  • Bingxing Lu
    Guangzhou Aier Eye Hospital, Jinan University, Guangzhou, China.
  • Xinyu Li
    School of Pharmacy, Binzhou Medical University, Yantai, China.
  • Tinghua Yang
    Guangzhou Aier Eye Hospital, Jinan University, Guangzhou, China.
  • Jinglin Zhang
    Guangzhou Aier Eye Hospital, Jinan University, Guangzhou, China.

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