Background Artificial intelligence (AI) has demonstrated significant potential in supporting
emergency medical services personnel during out-of-hospital cardiac arrest (OHCA) care; …

Airway management is a critical component of out-of-hospital cardiac arrest (OHCA)
resuscitation. Multiple cardiac arrest airway management techniques are available to EMS …

Importance While widely measured, the time-varying association between exhaled end-tidal
carbon dioxide (EtCO 2) and out-of-hospital cardiac arrest (OHCA) outcomes is unclear …

Critical illness can threaten the adequacy of O2 delivery or CO2 excretion. Monitoring seeks
to identify the adequacy of oxygenation and ventilation and to detect deterioration early …

Goal: Identifying the circulation state during out-of-hospital cardiac arrest (OHCA) is
essential to determine what life-saving therapies to apply. Currently algorithms discriminate …

Electrocardiogram (EKG) based classification of out-of-hospital cardiac arrest (OHCA)
rhythms is important to guide treatment and to retrospectively elucidate the effects of therapy …

Background Measurement of end-tidal CO2 (ETCO2) can help to monitor circulation during
cardiopulmonary resuscitation (CPR). However, early detection of restoration of …

The availability of an automatic pulse detection during out-of-hospital cardiac arrest (OHCA)
would allow the rapid identification of cardiac arrest and the prompt detection of return of …

A secondary analysis of a randomized study was performed to study the relationship
between volumetric capnography (VCAP) and arterial CO2 partial pressure (PCO2) during …

This survey paper explores the transformative role of Machine Learning (ML) and Artificial
Intelligence (AI) in Cardiopulmonary Resuscitation (CPR). It examines the evolution from …