用机器学习提升心肺复苏效果，让抢救更精准高效。
Machine Learning Innovations in CPR: A Comprehensive Survey on Enhanced Resuscitation Techniques
- 用机器学习分析实时数据，优化心肺复苏操作
- AI设备能预测抢救成功率，指导医生决策
- 适合急救医疗研究者和智能设备开发者
本综述探讨了机器学习（ML）与人工智能（AI）在心肺复苏（CPR）中的变革性作用。从传统方法演进到基于ML的创新技术，重点分析了预测建模、AI增强设备和实时数据分析对提高复苏成功率的影响。文章系统梳理了当前应用、分类框架，深入剖析了技术挑战与未来发展方向，为该新兴领域提供全面参考。
原文摘要 · Abstract (English)
This survey paper explores the transformative role of Machine Learning (ML) and Artificial Intelligence (AI) in Cardiopulmonary Resuscitation (CPR). It examines the evolution from traditional CPR methods to innovative ML-driven approaches, highlighting the impact of predictive modeling, AI-enhanced devices, and real-time data analysis in improving resuscitation outcomes. The paper provides a comprehensive overview, classification, and critical analysis of current applications, challenges, and future directions in this emerging field.
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