Machine Learning Innovations in CPR: A Comprehensive Survey on Enhanced Resuscitation Techniques
It addresses the problem of improving resuscitation outcomes for medical professionals and patients, but as a survey, it is incremental in nature.
This survey paper explores the role of machine learning and AI in enhancing cardiopulmonary resuscitation techniques, providing a comprehensive overview and analysis of current applications and challenges in the field.
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.