人工智能在计算机断层扫描中的视觉知识领域:基于图书识别分析的审查
Journal of computer assisted tomography
|January 25, 2024
概括
这项研究分析了医疗成像中的人工智能 (AI),发现了快速增长和关键研究领域,如算法优化和临床应用. 它强调了在人工智能驱动的医学成像研究中需要更多的国际合作.
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:
- 人工智能 (AI) 辅助的医学成像是一个快速发展的研究领域.
- 在计算机断层扫描 (CT) 成像中对AI的文献分析缺乏.
- 这项研究解决了在CT成像研究中对AI的全面概述的需求.
研究的目的:
- 在计算机断层扫描 (CT) 成像中对AI相关研究进行文献分析.
- 绘制知识领域的地图,确定关键研究领域,分析趋势.
- 提供关于AI在医学成像中的发展和未来方向的见解.
主要方法:
- 使用CiteSpace和VOSviewer进行图书统计分析.
- 从科学网络数据库中分析了7265份文件.
- 包括基本信息分析,共同词分析和共同引用分析.
主要成果:
- 与CT成像中的AI相关的出版物出现了显著的上升趋势.
- 美国和中国是主要的贡献者,国际合作有限.
- 目前的研究重点是算法优化和AI模型的临床应用.
结论:
- 医疗成像中的AI领域正在迅速扩大.
- 未来的研究应该专注于增强算法和弥合理论模型和临床实践之间的差距.
- 建议加强国际合作,以加快进展.
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