在过去十年中,人工智能临床应用研究的全球产出:科学测量研究和科学绘图
Ji-Yuan Shi1,2, Shu-Jin Yue1, Hong-Shuang Chen3
1School of Nursing, Beijing University of Chinese Medicine, Beijing, China.
Systematic reviews
|March 16, 2025
概括
这项研究分析了人工智能 (AI) 临床试验,揭示了疾病诊断和风险预测等关键研究领域. 新兴趋势包括深度学习和聊天机器人,美国是全球领先的贡献者.
科学领域:
- 医疗信息学 医疗信息学
- 临床研究 临床研究
- 人工智能应用程序 人工智能应用程序
背景情况:
- 人工智能 (AI) 显示出巨大的医疗潜力,但需要临床验证.
- 目前的人工智能临床试验研究的主题,方法和趋势尚未明确.
- 了解AI临床试验演变是其实际应用和采用的关键.
研究的目的:
- 分析关于人工智能 (AI) 应用的已发表临床研究的当前状态,热点和趋势.
- 通过图书统计分析,全面概述AI在临床环境中的作用.
- 确定人工智能临床研究中的新兴研究前沿和合作模式.
主要方法:
- 从科学网数据库中对22583篇文章进行了图书法分析.
- 使用VOSviewer.com可视化合作网络 (国家,机构,作者,关键词).
- 使用CiteSpace和SciMAT进行爆发检测和主题演变分析,以确定研究热点和趋势.
主要成果:
- 735个人工智能临床应用研究是由美国,中国和英国领导的53个国家的1764个机构发表的.
- 研究主要集中在用于疾病诊断,风险预测,辅助手术和康复的AI上.
- 深度学习和聊天机器人技术成为最近重要的研究热点.
结论:
- 对AI在临床研究中的出版量和引用数量正在稳步增加.
- 美国在人工智能临床研究成果方面处于领先地位,并积极开展国际合作.
- 未来的人工智能临床试验应优先考虑可靠的设计,道德考虑和实际临床价值.
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