[HTML][HTML] Artificial intelligence to support out-of-hospital cardiac arrest care: A scoping review
J Toy, N Bosson, S Schlesinger, M Gausche-Hill… - Resuscitation …, 2023 - Elsevier
Background Artificial intelligence (AI) has demonstrated significant potential in supporting
emergency medical services personnel during out-of-hospital cardiac arrest (OHCA) care; …
emergency medical services personnel during out-of-hospital cardiac arrest (OHCA) care; …
Transfer learning based deep network for signal restoration and rhythm analysis during cardiopulmonary resuscitation using only the ECG waveform
Y Gong, L Wei, S Yan, F Zuo, H Zhang, Y Li - Information Sciences, 2023 - Elsevier
Minimizing the interruption of cardiopulmonary resuscitation (CPR) is an important
technique to improve the survival of out-of-hospital cardiac arrest (OHCA) patients. Recent …
technique to improve the survival of out-of-hospital cardiac arrest (OHCA) patients. Recent …
The ability of machine learning algorithms to predict defibrillation success during cardiac arrest: A systematic review
M Sem, E Mastrangelo, D Lightfoot, T Aves, S Lin… - Resuscitation, 2023 - Elsevier
Objective To evaluate the existing knowledge on the effectiveness of machine learning (ML)
algorithms in predicting defibrillation success during in-and out-of-hospital cardiac arrest …
algorithms in predicting defibrillation success during in-and out-of-hospital cardiac arrest …
Artificial intelligence to support out-of-hospital cardiac arrest care: A scoping review.
N Bosson, S Schlesinger, M Gausche-Hill, S Stratton… - 2023 - escholarship.org
BACKGROUND: Artificial intelligence (AI) has demonstrated significant potential in
supporting emergency medical services personnel during out-of-hospital cardiac arrest …
supporting emergency medical services personnel during out-of-hospital cardiac arrest …