超越生存链:对人工智能在心脏骤停中的应用进行范围审查
Xing Luo1, Jinzhao Zhang2, Fanrong Lin2
11Department of Intensive Care Medicine, Sun Yat-sen University, Guangzhou 510120, China.
World journal of emergency medicine
|February 2, 2026
概括
人工智能 (AI) 越来越多地应用于心脏骤停 (CA) 预测和心肺复苏 (CPR) 支持. 这篇评论强调了人工智能.
科学领域:
- 心脏病学 心脏病学
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 心脏骤停 (CA) 仍然是一个严重的医疗紧急情况,死亡率很高.
- 人工智能 (AI) 提供了新的方法来改善CA结果.
- 需要对 CA 中的人工智能应用进行全面分析.
研究的目的:
- 在心脏骤停 (CA) 中对AI应用进行范围审查.
- 分析AI在预测CA,预后和心肺复苏干预方面的作用.
- 在CA管理中确定AI的未来研究方向.
主要方法:
- 在2025年6月10日之前搜索了PubMed,科克伦图书馆,科学网和EMBASE.
- 包括关于医院内CA (IHCA) 和医院外CA (OHCA) 的研究.
- 专注于人工智能应用在CA预测,预后,LLMs和CPR支持.
主要成果:
- 审查了114项涉及950多万患者的研究.
- 人工智能最常用于CA预测 (40项研究) 和停药后预后 (38项研究).
- 预测和CPR支持模型 (高达0.998) 实现了接收器操作特征曲线 (AUROC) 下的高面积值.
结论:
- 人工智能主要用于CA预测,CPR支持和结果预测.
- 未来的研究应该专注于药物发现,复苏后护理和神经康复.
- 多中心临床试验对于在现实环境中验证人工智能的有效性至关重要.
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