心血管医学中人工智能的全球研究趋势:一个文献计量分析
Fangzheng Su1, Chiyi Liu1, Haomiao Sun1
1Shandong First Medical University, Jinan, Shandong, 250017, China.
Archives of cardiovascular diseases
|December 4, 2025
概括
心血管医学中的人工智能正在快速增长,研究重点是预测和分类. 新兴领域包括心肌病和大动脉狭窄症,推动心脏护理方面的创新.
科学领域:
- 心血管医学 心血管医学
- 人工智能的人工智能
- 图书统计学 图书统计学
背景情况:
- 心血管疾病对健康构成重大挑战.
- 人工智能 (AI) 为心脏病学中的数据分析提供了先进的功能.
- 对心血管医学中人工智能的综合图书统计概述以前没有.
研究的目的:
- 从2015年到2024年绘制心血管医学AI的全球研究格局.
- 识别关键趋势,有影响力的出版物和领先的机构.
- 为研究人员,决策者和临床医生提供基于证据的参考资料.
主要方法:
- 来自76个国家的914篇文章 (2015-2024) 的图书统计分析.
- 数据来源于网络科学核心集合.
- 使用VOSviewer,CiteSpace和R"bibliometrix"进行分析和可视化.
主要成果:
- 研究产出的显著增长,以美国和中国为首.
- 哈佛大学和心血管医学前沿组织是最大的贡献者.
- 关键的研究热点包括预测和分类,新兴的重点是心肌病和大动脉狭窄症.
结论:
- 心血管医学中的AI应用显示出强的增长和国际合作.
- 预测分析和疾病分类是主要的研究主题.
- 对趋势和差距的洞察力可以促进未来的创新和临床转化.
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