人工智能应用于疼痛管理的研究现状,热点和前景:图书统计和视觉分析
Feng Li1, ChangHao Hu2, Xu Luo3
1School of Nursing, Zunyi Medical University, Zunyi, China.
Updates in surgery
|June 28, 2025
概括
人工智能 (AI) 正在迅速推进疼痛管理研究,专注于临床诊断,风险预测和个性化治疗的出版物激增. 关键趋势包括机器学习和深度学习,用于疼痛护理中的预测模型.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 疼痛管理研究 疼痛管理研究
背景情况:
- 大数据和人工智能 (AI) 正在改变疼痛管理研究,使临床诊断,风险预测和精准医学取得进展.
- 人工智能在疼痛管理中的应用正在增长,但研究质量,热点和趋势需要全面分析.
- 要了解人工智能在疼痛管理中的当前状态和未来方向,需要采用文献计量方法.
研究的目的:
- 在过去的30年里,对人工智能在疼痛管理中的应用进行了图书统计和视觉分析.
- 确定当前的研究热点和该领域的新兴趋势.
- 提供对全球出版模式,关键机构,有影响力的作者和核心期刊的见解.
主要方法:
- 使用VOSviewer,CiteSpace和Bibliometrix (R-Tool) 的图书识别和视觉分析.
- 数据来源于科学网络 (WOS) 数据库的SCI-EXPANDED子集 (开始至2024年6月29日).
- 分析包括全球出版物状态,国家,机构,作者,期刊,关键词和共同引用的参考文献.
主要成果:
- 共有970篇论文发表,其中97%出现在2014年至2024年之间,表明快速增长.
- 美国和中国在出版物方面处于领先地位;哈佛大学和加利福尼亚大学系统是著名的机构.
- 研究热点包括用于临床监测,风险预测,诊断和个性化疼痛治疗的AI,机器学习和深度学习是关键技术.
结论:
- 人工智能在疼痛管理领域正在经历显著的增长和发展.
- 这项研究为研究人员提供了新的视角和必要的数据,以了解当前的趋势,确定合作机会,并指导未来的研究方向.
- 这些发现促进了人工智能在疼痛管理策略中的有效实施.
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