Application prospect of large language model represented by ChatGPT in ophthalmology
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Wen-Bin Huang. Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou 570311, Hainan Province, China. cyhwenb@gmail.com

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Supported by the Hainan Provincial Natural Science Foundation of China (No.825RC898) and Hainan Province Clinical Medical Center.

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    Abstract:

    ChatGPT technology based on large language models (LLM) shows great potential in improving the quality of medical care, assisting clinical decision making and optimizing patient communication. The role of ChatGPT in ophthalmology is still in its infancy. This review aims to explore the application prospect of ChatGPT in ophthalmology. Relevant literature was reviewed and analyzed, and the application prospects of LLM represented by ChatGPT in ophthalmology were summarized, including clinical assisted diagnosis, patient education and communication, history collection and text writing, clinical research, and medical education, etc. At the same time, the challenges and solutions faced by ChatGPT in ophthalmology were pointed out. Its safety, efficacy and ethics remain controversial in practical applications. Therefore, it is necessary to strengthen the supervision and research on its application to ensure safety and effectiveness. In the future, with the development of technology, ChatGPT is expected to play a greater role in ophthalmology and enhance the medical experience.

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Ji-Fa Kuang, Jing-Hui Wang, Ming-Bing Zeng, et al. Application prospect of large language model represented by ChatGPT in ophthalmology. Int J Ophthalmol, 2025,18(9):1790-1796

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Publication History
  • Received:June 19,2024
  • Revised:April 16,2025
  • Adopted:
  • Online: August 18,2025
  • Published: