人工智能在心肺复苏中的应用
Monica Puticiu1, Florica Pop1, Mihai Alexandru Butoi2
1Department of Emergency, Faculty of Medicine, Vasile Goldiș Western University of Arad, 310325 Arad, Romania.
Medicina (Kaunas, Lithuania)
|December 31, 2025
概括
人工智能 (AI) 和机器学习 (ML) 在改善心肺复苏 (CPR) 结果方面非常有前途. 这些技术可以提高早期识别,心肺复苏质量和逮捕后护理,从而彻底改变复苏科学.
科学领域:
- 心肺复苏科学心肺复苏科学
- 医学中的人工智能
- 机器学习应用程序 机器学习应用程序
背景情况:
- 人工智能 (AI) 和机器学习 (ML) 越来越多地融入心肺复苏 (CPR).
- 有证据表明,AI/ML可以改善早期识别,干预质量和心脏骤停后的结果.
- 本综述综合了AI/ML在复苏方面的进展和挑战.
研究的目的:
- 审查和综合AI/ML增强复苏科学当前的进展.
- 在美国心脏协会的生存链中对AI/ML应用进行分类.
- 确定AI/ML在CPR中的挑战和未来方向.
主要方法:
- 在科学网络 (2018-2025) 中进行有针对性的文献搜索.
- 关键词: "人工智能" 和 "心肺复苏".
- 通过复苏阶段审查和分类的研究.
主要成果:
- 在早期识别和EMS激活方面,AI/ML显示出前景.
- 优化高质量的心肺复苏,包括反和除预测.
- 支持先进的干预,结果预测和综合系统.
- 人工智能在复苏教育和培训中的应用正在出现.
结论:
- 人工智能/ML技术可以显著提高整个生存链的临床性能.
- 有效实施需要解决伦理考虑,数据代表性和验证.
- 未来的研究应该专注于多中心数据,透明度,偏差缓解和临床评估.
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