Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services.

ABSTRACT: BACKGROUND:In emergency medical services (EMSs), accurately predicting the severity of a patient's medical condition is important for the early identification of those who are vulnerable and at high-risk. In this study, we developed and validated an artificial intelligence (AI) algorithm based on deep learning to predict the need for critical care during EMS. METHODS:We conducted a retrospective observation cohort study. The algorithm was established using development data from the Korean national emergency department information system, which were collected during visits in real time from 151 emergency departments (EDs). We validated the algorithm using EMS run sheets from two EDs. The study subjects comprised adult patients who visited EDs. The endpoint was critical care, and we used age

SUBMITTER: Kang DY 

PROVIDER: S-EPMC7057604 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature