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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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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.

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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.

关键词:
航道管理是指空中航道管理.麻醉学 麻醉学人工智能的人工智能是人工智能.封闭式输液循环的输液.麻醉的深度 麻醉的深度手术后的疼痛 术后的疼痛预测 预测 预测超声波导向区域麻醉.

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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.