人工智能与骨质疏松症之间的二十年对话:在图书识别和视觉分析下研究轨迹和前沿预测
Yun Deng1, Xingyu Chen2, Na Yao2
1The Third Affiliated Hospital of Yunnan University of Chinese Medicine, Kunming, China.
Frontiers in medicine
|November 19, 2025
概括
人工智能 (AI) 正在推动骨质疏松症研究,其中深度学习和诊断是关键的前沿. 这项研究绘制了AI的地图.
科学领域:
- 科学研究科学研究
- 图书统计学 图书统计学
- 人工智能的人工智能
背景情况:
- 骨质疏松症研究正在越来越多地纳入人工智能 (AI) 技术.
- 了解人工智能驱动的骨质疏松症研究的智力进步和趋势对于未来的发展至关重要.
研究的目的:
- 从2004年到2024年,系统地评估人工智能 (AI) 驱动的骨质疏松症研究的智力进展.
- 绘制知识领域的地图,识别新兴趋势,并为未来的研究工作提供战略见解.
主要方法:
- 来自Web of Science核心集合 (2004-2024) 的出版物的图书统计分析,使用关键词如"骨质疏松症"",深度学习"和"人工智能".
- 使用VOSviewer,CiteSpace,Scimago Graphica和R包Bibliometrix处理的数据用于趋势分析,贡献评估和关键字映射.
主要成果:
- 确定了408个出版物,其产量将在2024年大幅增加.
- 中国和美国在生产力和引用影响方面领先.
- 深度学习,人工智能和诊断成为核心研究领域的前沿.
结论:
- 这项研究提供了AI在骨质疏松症研究中的第一个全面的文献分析.
- 它强调了人工智能技术 (如深度学习) 的重点,并确定了临床翻译方面的挑战.
- 为研究人员,临床医生和政策制定者提供了一份路线图,以推动该领域的发展.
关键词:
在CiteSpace中使用CiteSpace.在R包中,可以使用"Bibliometrix".在VOSviewer中使用VOSviewer.人工智能的人工智能是人工智能.文献计量分析的分析骨质疏松症是一种骨质疏松症.更多相关视频
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