人工智能辅助的干预术前麻醉管理:一个系统的审查和元分析
Kensuke Shimada1,2,3, Ryota Inokuchi4,5,6, Tomohiro Ohigashi7,8
1Graduate School of Comprehensive Human Sciences, University of Tsukuba, Ibaraki, Japan.
BMC anesthesiology
|September 4, 2024
概括
麻醉学中的人工智能 (AI) 尽管有研究增长,但临床实施有限. 一项系统性审查发现,在当前的随机试验中,人工智能辅助和传统麻醉之间的低血压结果没有显著差异.
科学领域:
- 麻醉学 麻醉学
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 人工智能 (AI) 在医疗实践中的整合正在迅速增加.
- 许多人工智能模型已经开发用于麻醉学,但临床采用仍然有限.
- 人工智能研究与其在麻醉学中的实际实施之间存在差距.
研究的目的:
- 系统地审查评估人工智能辅助麻醉管理的随机对照试验 (RCT).
- 确定人工智能研究与麻醉学临床实施之间的差距.
- 进行RCT的元分析,比较传统和人工智能辅助麻醉.
主要方法:
- 系统性审查和RCT的元分析.
- 搜索了多个数据库,包括MEDLINE,Embase,科学网,CENTRAL,IEEE Xplore和谷歌学者.
- 包括到2023年8月31日发表的比较传统和人工智能辅助麻醉管理的RCT.
主要成果:
- 包括8个RCT,包括568名患者.
- 人工智能干预包括模糊逻辑控制和低血压预测指数.
- 分析显示,低血压相关结果 (P=0.215) 和高异质性 (I2=93.8%) 没有显著差异.
结论:
- 目前对麻醉学人工智能辅助干预的RCT是初步的.
- 对复杂的临床实践的AI方法进行进一步的研究是有必要的.
- 目前在麻醉学中的AI工具的临床实用性需要进一步调查.
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