探索人工智能在麻醉学中的发展和影响:从2004年到2024年的图书统计研究
Keke Liu1, Weicheng Qiu1, Xinping Yang1
1Department of Anesthesiology, Shenzhen Second People's Hospital, the First Affiliated Hospital of Shenzhen University, Shenzhen, China.
麻醉学中的人工智能 (AI) 正在迅速发展,重点是风险预测和智能监控. 未来的研究必须验证人工智能工具,并提高可解释性,以改善患者护理.
科学领域:
- 图书统计学 图书统计学
- 人工智能的人工智能
- 麻醉学 麻醉学
背景情况:
- 人工智能 (AI) 正在改变麻醉学,改善患者监测,风险评估和个性化护理.
- 图书统计分析提供了对出版趋势,关键贡献者和麻醉学人工智能翻译研究的见解.
研究的目的:
- 评估麻醉学内人工智能研究的出版趋势和关键贡献者.
- 确定新兴的转化途径和人工智能在临床麻醉学中的未来应用前景.
主要方法:
- 从Web of Science核心收藏中对658篇关于麻醉学AI的文章 (2004-2024) 的图书统计分析.
- 使用VOSviewer和CiteSpace进行数据分析,包括关键字和期刊聚类.
主要成果:
- 在麻醉学领域的人工智能研究的显著增长,在2019-2020年有所激增.
- 美国在出版物和引用方面处于领先地位;主要期刊包括*麻醉和止痛*和*麻醉学*.
- 确定了三个核心翻译领域:外科手术期间风险预测,区域麻醉人工智能辅助超声波和智能麻醉监控系统.
结论:
- 麻醉学中的人工智能正在迅速扩大,弥合了临床需求和计算创新.
- 未来的研究应该集中在临床验证,跨学科的合作,并解决可解释性和数据整合的挑战.
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