复苏中的人工智能:一个范围审查
Drieda Zace1, Federico Semeraro2, Sebastian Schnaubelt3,4,5
1Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Resuscitation plus
|June 9, 2025
概括
人工智能在预测心脏骤停和帮助复苏决策方面表现有前途. 然而,需要更多的前性研究来证实这些AI工具的改善患者结果和临床整合.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 心肺复苏研究研究 心肺复苏
背景情况:
- 人工智能 (AI) 越来越多地被探索为改善心脏骤停 (CA) 的结果.
- 目前的景观和人工智能在复苏中的具体应用还没有得到很好的定义.
- 了解AI在CA中的作用对于推进紧急医疗保健至关重要.
研究的目的:
- 在心脏骤停和复苏中对人工智能应用进行范围审查.
- 确定现有的研究,方法和与复苏中人工智能相关的结果.
- 确定研究缺口,以便在未来对人工智能驱动的复苏策略进行调查.
主要方法:
- 使用PubMed,EMBASE和Cochrane数据库进行系统的文献搜索.
- 遵守PRISMA-ScR框架和ILCOR全面审查指南.
- 根据方法,研究设计,结果和设置对人工智能应用进行选和分类,人工智能辅助的数据提取被手动验证.
主要成果:
- 包括197项研究,主要是回顾性 (90%),有有限的前性试验 (16) 和随机对照试验 (2).
- 人工智能主要用于CA预测,节奏分类和复苏后预后,机器学习是最常见的方法 (50%).
- 报告的高绩效 (AUROC > 0.85) 被注意到,但外部验证和现实世界的实施很少.
结论:
- 人工智能在预测和决策支持复苏方面显示出潜力,但改善患者结果的证据有限.
- 目前,人工智能在复苏中的临床应用并不广泛.
- 未来的研究应该优先考虑前性验证,数据公平性,AI可解释性和临床工作流集成.
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