用人工智能塑造近视的未来：绘制趋势和有希望的方向

IF 3.4

Advances in ophthalmology practice and research Pub Date : 2025-07-29 DOI:10.1016/j.aopr.2025.07.004

Zewei Zhang , Lingfeng Lv , Dongmei Chen , Yusheng Chen , Weijie Zhang , Fang Li , Jibo Zhou

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引用次数: 0

摘要

世界范围内近视及其相关并发症的增加引发了人们对人工智能（AI）应用的兴趣。本研究旨在对人工智能在近视中的应用进行全面的文献计量分析。方法从Web of Science Core Collection （WoSCC）检索人工智能治疗近视的相关文章和综述。VOSviewer和CiteSpace是文献计量学分析的核心工具。结果本研究共收录305篇相关文献，2010年至2024年，相关文献发表量呈稳步增长趋势。在发表最多的国家中，中华人民共和国稳居榜首，首都医科大学和中山大学成为最活跃的院校。在这方面的论文贡献最多的是徐迅和周行涛。《转化视觉科学与技术》是最多产的期刊。关键词分析强调近视管理、角膜塑形术和阿托品、光学相干断层扫描、屈光手术和近视并发症是重点研究领域。虽然在近视的早期筛查、精确诊断和进展预测方面取得了显著进展，但在干预预后预测和干预决策方面的研究仍然不足。虽然人工智能已经彻底改变了近视的筛查和诊断。近视护理干预措施的临床决策有待进一步研究。平衡干预成本、疗效和副作用是未来推进人工智能近视治疗发展的关键。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Shaping the future of myopia with artificial intelligence: Mapping trends and promising directions

Background

The worldwide increase in myopia and its associated complications has sparked a growing interest in the application of artificial intelligence (AI). This study aims to provide a comprehensive bibliometric analysis of the application of AI in myopia.

Methods

Articles and review articles on AI in myopia were retrieved from the Web of Science Core Collection (WoSCC). VOSviewer and CiteSpace served as the core tools for bibliometric analysis.

Results

Our study included a total of 305 relevant articles, with a steady increase in publications observed from 2010 to 2024. The People's Republic of China secured the top position among the most published countries and Capital Medical University and Sun Yat-sen University emerged as the most active institutions. Xu Xun and Zhou Xingtao contributed the most papers in this area. Translational Vision Science & Technology was the most prolific journal. Keywords analysis highlighted myopia management, orthokeratology and atropine, optical coherence tomography, refractive surgery, and myopia complications as key research areas. While notable advancements have been achieved in early screening, precise diagnosis, and progression prediction of myopia, research on intervention prognosis prediction and intervention decision-making remains inadequate.

Conclusions

While AI has revolutionized myopia screening and diagnosis. further investigation is needed into clinical decision-making on interventions for myopia care. Balancing intervention costs, efficacy, and side effects is critical to advancing the development of AI in myopia in the future.

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来源期刊

Advances in ophthalmology practice and research Ophthalmology

CiteScore

1.70

自引率

0.00%

发文量

审稿时长

66 days