SYSTEMATIC REVIEW article
Front. Med.
Sec. Ophthalmology
Volume 12 - 2025 | doi: 10.3389/fmed.2025.1580583
Artificial Intelligence in Ophthalmology: A Bibliometric Analysis of the 5-year Trends in Literature
Provisionally accepted
- Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
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Purpose: This study aims to generate and elucidate the latest perspectives on the application of artificial intelligence in ophthalmology using bibliometric methods. By analyzing literature from the past five years (2020-2024), we seek to outline the development trends of this technology, provide guidance for its future directions, and assist clinicians in adapting to these innovations.We conducted a comprehensive search of all literature related to artificial intelligence and ophthalmology in the Web of Science Core Collection (WoSCC) using bibliometric methods. The collected data were analyzed and visualized using three widely recognized bibliometric software tools: CiteSpace, VOSviewer, and the R package "Bibliometrix."Results: A total of 21,725 documents were included from 134 countries and 7,126 institutions, consisting of 19,978 Articles (91.96%) and 1,714 Reviews (8.04%), with China and the United States leading the contributions. The number of publications in AI and ophthalmology has increased annually, with
Keywords: artificial intelligence, Ophthalmology, Diabetic Retinopathy, machine learning, deep learning
Received: 20 Feb 2025; Accepted: 12 Jun 2025.
Copyright: © 2025 Peng, Mu, Xu, Guo, Sun and Fan. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Wei Fan, Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, Sichuan Province, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.