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以ChatGPT为代表的大语言模型在眼科领域的应用前景

Application prospect of large language model represented by ChatGPT in ophthalmology.

作者信息

Kuang Ji-Fa, Wang Jing-Hui, Zeng Ming-Bing, Chen Fei-Lan, Huang Wen-Bin

机构信息

Hainan Eye Hospital and Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Haikou 570311, Hainan Province, China.

出版信息

Int J Ophthalmol. 2025 Sep 18;18(9):1790-1796. doi: 10.18240/ijo.2025.09.21. eCollection 2025.


DOI:10.18240/ijo.2025.09.21
PMID:40881437
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12378667/
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, . 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.

摘要

基于大语言模型(LLM)的ChatGPT技术在提高医疗质量、协助临床决策和优化医患沟通方面显示出巨大潜力。ChatGPT在眼科领域的作用仍处于起步阶段。本综述旨在探讨ChatGPT在眼科的应用前景。对相关文献进行了回顾和分析,总结了以ChatGPT为代表的大语言模型在眼科的应用前景,包括临床辅助诊断、患者教育与沟通、病史采集与文本撰写、临床研究以及医学教育等方面。同时,指出了ChatGPT在眼科面临的挑战及解决方案。其在实际应用中的安全性、有效性和伦理问题仍存在争议。因此,有必要加强对其应用的监管和研究,以确保安全有效。未来,随着技术的发展,ChatGPT有望在眼科发挥更大作用,提升医疗体验。

相似文献

[1]
Application prospect of large language model represented by ChatGPT in ophthalmology.

Int J Ophthalmol. 2025-9-18

[2]
Large Language Models May Help Patients Understand Peer-Reviewed Scientific Articles About Ophthalmology: Development and Usability Study.

J Med Internet Res. 2024-12-24

[3]
AI in Medical Questionnaires: Innovations, Diagnosis, and Implications.

J Med Internet Res. 2025-6-23

[4]
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Eur J Pediatr. 2025-7-12

[5]
ChatGPT-4o Compared With Human Researchers in Writing Plain-Language Summaries for Cochrane Reviews: A Blinded, Randomized Non-Inferiority Controlled Trial.

Cochrane Evid Synth Methods. 2025-7-28

[6]
[Preliminary exploration of the applications of five large language models in the field of oral auxiliary diagnosis, treatment and health consultation].

Zhonghua Kou Qiang Yi Xue Za Zhi. 2025-7-30

[7]
Stench of Errors or the Shine of Potential: The Challenge of (Ir)Responsible Use of ChatGPT in Speech-Language Pathology.

Int J Lang Commun Disord. 2025

[8]
Trends and advances in ChatGPT applications in ophthalmology.

J Fr Ophtalmol. 2025-8-27

[9]
Performance of ChatGPT-4 Omni and Gemini 1.5 Pro on Ophthalmology-Related Questions in the Turkish Medical Specialty Exam.

Turk J Ophthalmol. 2025-8-21

[10]
Examining the Role of Large Language Models in Orthopedics: Systematic Review.

J Med Internet Res. 2024-11-15

本文引用的文献

[1]
ChatGPT Assisting Diagnosis of Neuro-Ophthalmology Diseases Based on Case Reports.

J Neuroophthalmol. 2024-10-10

[2]
Application of multimodal large language models for safety indicator calculation and contraindication prediction in laser vision correction.

NPJ Digit Med. 2025-2-3

[3]
Multimodal machine learning enables AI chatbot to diagnose ophthalmic diseases and provide high-quality medical responses.

NPJ Digit Med. 2025-1-27

[4]
Development of a novel scoring system for glaucoma risk based on demographic and laboratory factors using ChatGPT-4.

Med Biol Eng Comput. 2025-1

[5]
Can large language models reason about medical questions?

Patterns (N Y). 2024-3-1

[6]
Strengths and Weaknesses of ChatGPT Models for Scientific Writing About Medical Vitamin B12: Mixed Methods Study.

JMIR Form Res. 2023-11-10

[7]
Comparative performance of humans versus GPT-4.0 and GPT-3.5 in the self-assessment program of American Academy of Ophthalmology.

Sci Rep. 2023-10-29

[8]
Chatbots Vs. Human Experts: Evaluating Diagnostic Performance of Chatbots in Uveitis and the Perspectives on AI Adoption in Ophthalmology.

Ocul Immunol Inflamm. 2024-10

[9]
ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports.

Eur Radiol. 2024-5

[10]
Reply.

J Am Coll Radiol. 2024-2

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