在医学超声波中识别和可视化全球研究趋势和人工智能热点:图书识别分析
Jinting Xiao1,2,3, Fajuan Shen4, Weizhao Lu5
1Graduate School, Tianjin Medical University, Tianjin, China.
Current medical imaging
|October 3, 2024
概括
医学超声波研究中的人工智能 (AI) 正在迅速发展. 这项研究分析了顶级论文,以绘制全球趋势,关键贡献者和医疗超声波应用人工智能的新兴主题.
科学领域:
- 医疗成像医学成像
- 人工智能的人工智能
- 图书统计学 图书统计学
背景情况:
- 医疗超声波中的人工智能 (AI) 应用正在显著扩大.
- 了解全球研究趋势和热点对于未来的发展至关重要.
研究的目的:
- 识别和可视化医疗超声波AI的全球研究趋势和热点.
- 分析重点是该领域引用量最高的100篇论文.
主要方法:
- 使用了定量和可视化方法.
- 来自Web of Science核心集合数据库的100篇高度引用的论文的图书统计分析.
- 分析包括领先的国家,机构,作者,期刊,合作和关键字的共同出现.
主要成果:
- 排名前100的论文是在1999年至2021年间发表的.
- 美国,中国和英国在研究成果方面处于领先地位.
- 关键主题包括"超声波"",计算机辅助诊断"和"细分".
结论:
- 本文献分析提供了对医疗超声波中的AI的全面见解.
- 这些发现可以作为人工智能开发的参考,并促进潜在的合作.
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