人工智能和光学连贯性断层扫描图像的图书统计分析:研究热点和前沿
Hai-Wen Feng1, Jun-Jie Chen1, Zhi-Chang Zhang2
1Department of Software Engineering, School of Software, Shenyang University of Technology, Shenyang 110870, Liaoning Province, China.
International journal of ophthalmology
|September 19, 2023
概括
人工智能 (AI) 在光连贯断层扫描 (OCT) 成像方面正在迅速发展. 本文献分析揭示了关键的研究趋势,并强调了人工智能.
科学领域:
- 生物医学成像技术 生物医学成像技术
- 人工智能的人工智能
- 眼科医生 眼科 眼科
背景情况:
- 光学连贯断层扫描 (OCT) 是眼科中一个关键的成像模式.
- 人工智能 (AI) 的整合正在改变海外国家和地区的图像分析.
- 了解当前的研究环境对于未来的进展至关重要.
研究的目的:
- 进行对OCT成像中AI应用的文献分析.
- 识别当前的研究状态,趋势和热点.
- 讨论人工智能支持的OCT未来的研究方向.
主要方法:
- 科学网络核心收藏的图书统计分析.
- 数据提取包括论文,国家,机构,关键字和引用.
- 使用了像VOSviewer和CiteSpace V这样的可视化工具.
主要成果:
- 研究跨越55个国家,美国在出版物方面处于领先地位.
- 伦敦大学是AI-OCT研究的领先机构.
- 关键的研究集群包括糖尿病视网膜病变,图像细分和OCT分类.
结论:
- 基于人工智能的OCT成像显示出临床应用的巨大潜力.
- 确定了热门话题和未来的方向可以指导进一步的研究.
- 该领域正在动态发展,有望彻底改变临床护理.
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