人工智能在眼科光学连贯性断层扫描中的应用:一个12年的文献分析分析
Ruo-Yu Wang1, Si-Yuan Zhu2, Xin-Ya Hu3
1Department of Global Public Health, Karolinska Institute, Stockholm 17177, Sweden.
International journal of ophthalmology
|December 19, 2024
概括
眼科光学相干断层扫描 (OCT) 成像中的人工智能 (AI) 正在快速发展,美国是研究的领导者. 该领域正在从机器学习转向用于疾病诊断和细分的深度学习.
科学领域:
- 眼科医生 眼科 眼科
- 计算机科学 计算机科学
- 人工智能的人工智能
背景情况:
- 眼科成像在很大程度上依赖于光学连贯断层扫描 (OCT).
- 人工智能 (AI) 越来越多地被整合到医学成像分析中.
- 人工智能在眼科OCT中的应用是一个快速发展的研究领域.
研究的目的:
- 探索AI在眼科OCT成像中的当前应用.
- 确定人工智能驱动的眼科OCT的研究前沿.
- 分析全球研究趋势和主要贡献者.
主要方法:
- 用Web of Science核心集合对来自65个国家的877篇文章 (2012-2023) 进行了图书统计分析.
- 分析使用CiteSpace 6.2.R2高级软件进行.
- 专注于具有高影响力的文章和关键词趋势.
主要成果:
- 眼科海外国家和地区的人工智能出版物的显著增长,美国和中国是主要贡献者.
- 关键学科包括眼科,计算机科学和人工智能.
- 2018年后新兴的热门关键词包括深度学习 (DL),人工智能,黄斑变性和自动细分.
结论:
- 眼科OCT人工智能研究的年度产出正呈指数级增长.
- 美国在研究成果和影响方面处于领先地位.
- 研究重点已经从传统的机器学习 (ML) 转向深度学习 (DL),用于自动细分和诊断等任务,OCT血管造影 (OCTA) 和计算机辅助诊断 (CAD) 占据了重要地位.
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