Applications and Performance of Machine Learning Algorithms in Emergency Medical Services: A Scoping Review.

ABSTRACT:

Objective

The aim of this study was to summarize the literature on the applications of machine learning (ML) and their performance in Emergency Medical Services (EMS).

Methods

Four relevant electronic databases were searched (from inception through January 2024) for all original studies that employed EMS-guided ML algorithms to enhance the clinical and operational performance of EMS. Two reviewers screened the retrieved studies and extracted relevant data from the included studies. The characteristics of included studies, employed ML algorithms, and their performance were quantitively described across primary domains and subdomains.

Results

This review included a total of 164 studies published from 2005 through 2024. Of those, 125 were clinical domain focused and 39 w

SUBMITTER: Alrawashdeh A 

PROVIDER: S-EPMC11810483 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature