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

Authors :
Islam, Saidul
Rjoub, Gaith
Elmekki, Hanae
Bentahar, Jamal
Pedrycz, Witold
Cohen, Robin
Publication Year :
2024

Abstract

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.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2411.03131
Document Type :
Working Paper