Artificial intelligence-assisted fitting method using corneal topography outcomes enhances success rate in orthokeratology lens fitting.

Journal: Contact lens & anterior eye : the journal of the British Contact Lens Association
Published Date: Dec 16, 2024

Abstract

PURPOSE: Based on ideal outcomes of corneal topography following orthokeratology (OK), an innovative machine learning algorithm for corneal refractive therapy (CRT) was developed to investigate the precision of artificial intelligence (AI)-assisted OK lens fitting.

Authors

  • Xueyi Zhou
    Eye Institute and Department of Ophthalmology, Eye & ENT Hospital, Fudan University, Shanghai 200031, China; NHC Key laboratory of Myopia and Related Eye Diseases, Key Laboratory of Myopia and Related Eye Diseases, Chinese Academy of Medical Sciences, Shanghai, 200031, China; Shanghai Research Center of Ophthalmology and Optometry, Shanghai 200031, China; Shanghai Engineering Research Center of Laser and Autostereoscopic 3D for Vision Care (20DZ2255000), China.
  • Li Zeng
    Wenzhou Medical University, Wenzhou, China.
  • Yang Shen
    Departments of Electrical and Computer Engineering & Computer Science and Engineering Texas A&M University, College Station, TX 77840.
  • Zhe Zhang
    Department of Urology, The First Affiliated Hospital of China Medical University, Shenyang, Liaoning 110001, China.
  • Chongyang Wang
    School of Technology, Beijing Forestry University, Beijing 100083, China.
  • Bingjie Wang
    Key Laboratory of Advanced Transducers and Intelligent Control System, Ministry of Education and Shanxi Province, Taiyuan University of Technology, Taiyuan 030024, China.
  • Pauline Kang
    School of Optometry and Vision Science, University of New South Wales, Sydney 2052, Australia.
  • Xingtao Zhou
    Department of Ophthalmology, Eye and ENT Hospital, Fudan University, Shanghai, China.
  • Zhi Chen
    Duke University.

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