[HTML][HTML] Artificial Intelligence in Emergency Medicine. A Systematic Literature Review.

K Piliuk, S Tomforde - International Journal of Medical Informatics, 2023 - Elsevier
Motivation and objective: Emergency medicine is becoming a popular application area for
artificial intelligence methods but remains less investigated than other healthcare branches …

[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; …

Individualized decision making in on-scene resuscitation time for out-of-hospital cardiac arrest using reinforcement learning

DH Choi, MH Lim, KJ Hong, YG Kim, JH Park… - NPJ Digital …, 2024 - nature.com
On-scene resuscitation time is associated with out-of-hospital cardiac arrest (OHCA)
outcomes. We developed and validated reinforcement learning models for individualized on …

Post-Cardiac arrest outcome prediction using machine learning: A systematic review and meta-analysis

A Zobeiri, A Rezaee, F Hajati, A Argha… - International Journal of …, 2024 - Elsevier
Background Early and reliable prognostication in post-cardiac arrest patients remains
challenging, with various factors linked to return of spontaneous circulation (ROSC) …

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 …