Artificial intelligence in emergency medicine: a scoping review
Introduction Despite the growing investment in and adoption of artificial intelligence (AI) in
medicine, the applications of AI in an emergency setting remain unclear. This scoping …
medicine, the applications of AI in an emergency setting remain unclear. This scoping …
Artificial intelligence and machine learning applications in sudden cardiac arrest prediction and management: a comprehensive review
Abstract Purpose of Review This literature review aims to provide a comprehensive
overview of the recent advances in prediction models and the deployment of AI and ML in …
overview of the recent advances in prediction models and the deployment of AI and ML in …
Generating adversarial samples on multivariate time series using variational autoencoders
Classification models for multivariate time series have drawn the interest of many
researchers to the field with the objective of developing accurate and efficient models …
researchers to the field with the objective of developing accurate and efficient models …
Machine Learning Models for Survival and Neurological Outcome Prediction of Out‐of‐Hospital Cardiac Arrest Patients
Background. Out‐of‐hospital cardiac arrest (OHCA) is a major health problem worldwide,
and neurologic injury remains the leading cause of morbidity and mortality among survivors …
and neurologic injury remains the leading cause of morbidity and mortality among survivors …
Machine learning-based analysis of regional differences in out-of-hospital cardiopulmonary arrest outcomes and resuscitation interventions in Japan
Y Kawai, K Yamamoto, K Miyazaki, H Asai… - Scientific Reports, 2023 - nature.com
Refining out-of-hospital cardiopulmonary arrest (OHCA) resuscitation protocols for local
emergency practices is vital. The lack of comprehensive evaluation methods for …
emergency practices is vital. The lack of comprehensive evaluation methods for …
[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; …
Artificial intelligence and machine learning in prehospital emergency care: A scoping review
ML Chee, ML Chee, H Huang, K Mazzochi, K Taylor… - Iscience, 2023 - cell.com
Our scoping review provides a comprehensive analysis of the landscape of artificial
intelligence (AI) applications in prehospital emergency care (PEC). It contributes to the field …
intelligence (AI) applications in prehospital emergency care (PEC). It contributes to the field …
A machine learning approach for modeling decisions in the out of hospital cardiac arrest care workflow
S Harford, M Del Rios, S Heinert, J Weber… - BMC medical informatics …, 2022 - Springer
Background A growing body of research has shown that machine learning (ML) can be a
useful tool to predict how different variable combinations affect out-of-hospital cardiac arrest …
useful tool to predict how different variable combinations affect out-of-hospital cardiac arrest …
Visual assessment of interactions among resuscitation activity factors in out-of-hospital cardiopulmonary arrest using a machine learning model
Y Kawai, H Okuda, A Kinoshita, K Yamamoto… - Plos one, 2022 - journals.plos.org
Aim The evaluation of the effects of resuscitation activity factors on the outcome of out-of-
hospital cardiopulmonary arrest (OHCA) requires consideration of the interactions among …
hospital cardiopulmonary arrest (OHCA) requires consideration of the interactions among …
Post-Cardiac arrest outcome prediction using machine learning: A systematic review and meta-analysis
Background Early and reliable prognostication in post-cardiac arrest patients remains
challenging, with various factors linked to return of spontaneous circulation (ROSC) …
challenging, with various factors linked to return of spontaneous circulation (ROSC) …