麻醉学中的人工智能:一个图书识别分析
Bi-Hua Xie1,2, Ting-Ting Li1, Feng-Ting Ma1,3
1Department of Anesthesiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan, China.
Perioperative medicine (London, England)
|December 24, 2024
概括
麻醉学中的人工智能 (AI) 正在迅速发展. 这种图书统计分析揭示了关键的研究趋势,最大的贡献者和新兴领域,如人工智能用于预测低血压.
科学领域:
- 麻醉学 麻醉学
- 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) 在麻醉学中的应用正在扩大.
- 之前对这个特定领域的文献计量分析是缺乏的.
- 了解全球研究趋势对于未来的发展至关重要.
研究的目的:
- 进行对麻醉学人工智能全球研究趋势的文献分析.
- 识别关键国家,机构,作者和期刊.
- 绘制研究格局的地图,并确定热点和边界.
主要方法:
- 在2024年4月10日之前从Web of Science获取的491项研究的图书统计分析.
- 使用Excel,CiteSpace和VOSviewer进行数据可视化和分析.
- 计算出版物增长,国家/机构/作者/期刊贡献,共同引用和关键词的共同出现.
主要成果:
- 自2018年以来,出版物数量每年都在增加.
- 美国,中国和英国是主要的贡献者.
- 对人工智能用于预测低血压的研究是一个重要的热点.
- 关键的研究集群包括超声导向区域麻醉,疼痛管理和手术内药物输注.
结论:
- 本文献分析提供了对麻醉学AI研究的全面概述.
- 它强调美国,中国和英国是主要的贡献者.
- 新兴的研究领域包括人工智能应用,用于预测低血压和优化手术内护理.
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