AI Medical Compendium Journal:
Resuscitation plus

Showing 1 to 4 of 4 articles

Analyzing resuscitation conference content through the lens of the chain of survival.

Resuscitation plus
BACKGROUND: Resuscitation science today often focuses on advanced topics such as extracorporeal cardiopulmonary resuscitation or targeted temperature management. However, the specific topics presented at resuscitation conferences have not been thorou...

Predicting transfers to intensive care in children using CEWT and other early warning systems.

Resuscitation plus
BACKGROUND AND OBJECTIVE: The Children's Early Warning Tool (CEWT), developed in Australia, is widely used in many countries to monitor the risk of deterioration in hospitalized children. Our objective was to compare CEWT prediction performance again...

Random forest machine learning method outperforms prehospital National Early Warning Score for predicting one-day mortality: A retrospective study.

Resuscitation plus
AIM OF THE STUDY: The National Early Warning Score (NEWS) is a validated method for predicting clinical deterioration in hospital wards, but its performance in prehospital settings remains controversial. Modern machine learning models may outperform ...

Closed-loop machine-controlled CPR system optimises haemodynamics during prolonged CPR.

Resuscitation plus
OBJECTIVES: We evaluated the feasibility of optimising coronary perfusion pressure (CPP) during cardiopulmonary resuscitation (CPR) with a closed-loop, machine-controlled CPR system (MC-CPR) that sends real-time haemodynamic feedback to a set of mach...