眼科人工智能:对五年来文献趋势的文献分析
Bosen Peng1, Jiancheng Mu1, Feng Xu1
1Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China.
Frontiers in medicine
|July 16, 2025
概括
本文档分析了2020-2024年眼科领域的人工智能 (AI),揭示了关键趋势和研究前沿. 它强调了深度学习和卷积神经网络,用于诊断糖尿病视网膜病变等疾病.
科学领域:
- 眼科医生 眼科 眼科
- 人工智能的人工智能
- 图书统计学 图书统计学
背景情况:
- 人工智能 (AI) 在眼科的整合正在迅速发展.
- 了解眼科人工智能应用的前景对于未来的研究和临床实践至关重要.
研究的目的:
- 阐明人工智能 (AI) 在眼科应用方面的最新观点.
- 概述发展趋势并确定眼科人工智能的未来方向.
- 为临床医生提供指导,帮助他们适应眼科人工智能创新.
主要方法:
- 从2020年到2024年,对文学进行了图书统计分析.
- 在科学网络核心收藏中进行全面的文献搜索.
- 使用CiteSpace,VOSviewer和R包"Bibliometrix"进行数据分析和可视化.
主要成果:
- 分析了来自134个国家的21,725份文件,其中中国和美国是主要贡献者.
- 关键的研究领域包括用于诊断视网膜疾病 (例如,糖尿病视网膜病变,AMD) 和其他眼科子领域的AI.
- 主要的关键词包括"深度学习"",机器学习"",卷积神经网络"和"糖尿病视网膜病变".
结论:
- 图书统计分析绘制了人工智能和眼科医学的动态演变和结构关系.
- 这项研究提供了全面的洞察力,包括2022年以后的文献,解决了先前研究中的差距.
- 识别了最近的研究前沿和热点,作为未来人工智能和眼科研究的宝贵参考.
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