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.
@article{arxiv.2411.03131,
title = {Machine Learning Innovations in CPR: A Comprehensive Survey on Enhanced Resuscitation Techniques},
author = {Saidul Islam and Gaith Rjoub and Hanae Elmekki and Jamal Bentahar and Witold Pedrycz and Robin Cohen},
journal= {arXiv preprint arXiv:2411.03131},
year = {2024}
}