mlsanityData to 13 Oct 2026

Machine Learning Innovations in CPR: A Comprehensive Survey on Enhanced Resuscitation Techniques

arXiv 2411.03131 ↗First posted 3 Nov 2024cs.LG cs.AIcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 13 Oct 2026). Builds on 19 of its 141 references that are in the map. First posted on arXiv 3 Nov 2024.

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References · 19

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7 more
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