Multimodal AI diagnostic system for neuromyelitis optica based on ultrawide-field fundus photography.

Journal: Frontiers in medicine
Published Date: May 7, 2025

Abstract

PURPOSE: While deep learning (DL) has demonstrated significant utility in ocular diseases, no clinically validated algorithm currently exists for diagnosing neuromyelitis optica (NMO). This study aimed to develop a proof-of-concept multimodal artificial intelligence (AI) diagnostic model that synergistically integrates ultrawide field fundus photographs (UWFs) with clinical examination data for predicting the onset and stage of suspected NMO.

Authors

  • Simin Gu
    Department of Ophthalmology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Tiancheng Bao
    Department of Ophthalmology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Tao Wang
    Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Qiting Yuan
    Zeemo Technology Company Limited, Shenzhen, China.
  • Weiguang Yu
    Zeemo Technology Company Limited, Shenzhen, China.
  • Jiayi Lin
    Department of Ophthalmology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Haocheng Zhu
    Department of Ophthalmology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Shihai Cui
    International Research Association on Emerging Automotive Safety Technology, Tianjin 300222, P. R. China.
  • Yi Sun
    Department of Environmental and Occupational Health, Program in Public Health, University of California, Irvine, CA, USA.
  • Xiuhua Jia
    Department of Ophthalmology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
  • Lina Huang
    Department of Radiology, Changshu No. 2 People's Hospital, The Affiliated Changshu Hospital of Xuzhou Medical University, Changshu, China.
  • Shiqi Ling
    Department of Ophthalmology, The Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.

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