Artificial intelligence and machine learning for hemorrhagic trauma care

HT Peng, MM Siddiqui, SG Rhind, J Zhang… - Military Medical …, 2023 - Springer
Artificial intelligence (AI), a branch of machine learning (ML) has been increasingly
employed in the research of trauma in various aspects. Hemorrhage is the most common …

Applications and Performance of Machine Learning Algorithms in Emergency Medical Services: A Sco** Review

A Alrawashdeh, S Alqahtani, ZI Alkhatib… - … and Disaster Medicine, 2024 - cambridge.org
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) …

National analysis of over and under-triage rates in relation to trauma population risk factors and associated outcomes across various levels trauma centers

J Hayashi, M Abella, D Nunez, N Alter, J Kim… - Injury, 2024 - Elsevier
Introduction Over and under-triage represent a misallocation of resources that can affect
patient outcomes. The purpose of this study is to evaluate over and under-triage rates in …

Effectiveness of a two-tiered trauma team activation system at a level I trauma center

J Abu-Aiada, E Quint, D Dykman, D Czeiger… - European Journal of …, 2024 - Springer
Purpose Many trauma patients who are transported to our level I trauma center have minor
injuries that do not require full trauma team activation (FTTA). Thus, we implemented a two …

Undertriage of severely injured trauma patients

K Anderson, M Schellenberg… - The American …, 2023 - journals.sagepub.com
Introduction The American College of Surgeons (ACS) delineates trauma team activation
(TTA) criteria to identify seriously injured trauma patients in the field. Patients are deemed to …

Patient outcomes based on the 2011 CDC Guidelines for Field Triage of Injured Patients

AR Fernandez, SS Bourn, GD Hall… - Journal of Trauma …, 2023 - journals.lww.com
Background: The Centers for Disease Control and Prevention Guidelines for Field Triage of
Injured Patients drive the destination decision for millions of emergency medical services …

Prospective validation of a hospital triage predictive model to decrease undertriage: an EAST multicenter study

EA Biesboer, CJ Pokrzywa, BS Karam… - Trauma Surgery & …, 2024 - tsaco.bmj.com
Background Tiered trauma team activation (TTA) allows systems to optimally allocate
resources to an injured patient. Target undertriage and overtriage rates of< 5% and< 35 …

Paramedic Judgment as a Basis for Trauma Triage: Is it an Effective Strategy?

MP Schaefer, C Lamy… - The American …, 2025 - journals.sagepub.com
Introduction American College of Surgeons-Committee on Trauma (ACS-COT) defines
minimum Standard Criteria (SC) for Level 1 trauma. In our hospital, discretion of prehospital …

Postoperative Intensive Care Unit Overtriage: An Application of Machine Learning

EK Jones, CJ Tignanelli - Annals of surgery, 2023 - journals.lww.com
The coronavirus disease 2019 (COVID-19) pandemic has highlighted just how precious of a
resource the intensive care unit (ICU) bed is across the world. 1 Hospitals, which typically …

[HTML][HTML] ACS highlight: trauma team activation: optimizing prehospital triage of the injured patient

M Schellenberg - The American Association for the Surgery of Trauma, 2021 - aast.org
The American College of Surgeons (ACS) Committee on Trauma (COT) provides a set of
trauma team activation (TTA) criteria, intended to be applied in the prehospital setting to …