Using the Field Artificial Intelligence Triage (FAIT) tool to predict hospital critical care resource utilization in patients with truncal gunshot wounds

Planning for the Next Pandemic: Trauma Injuries Require Pre-COVID-19 Levels of High-Intensity Resources

(2022) Ava K. Mokhtari et al.   AMERICAN SURGEON

Development of a Field Artificial Intelligence Triage (FAIT) Tool

(2021) Charlie Nederpelt et al.   Journal of Trauma and Acute Care Surgery

Applications of artificial neural networks in health care organizational decision-making: A scoping review

(2019) Nida Shahid et al.   PLoS One

Surgical Risk Is Not Linear

(2018) Dimitris Bertsimas et al.   ANNALS OF SURGERY

Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations

(2017) Jonathan H. Chen et al.   NEW ENGLAND JOURNAL OF MEDICINE

Building a Decision Support System for Inpatient Admission Prediction With the Manchester Triage System and Administrative Check-in Variables

(2016) Alexander Zlotnik et al.   CIN-COMPUTERS INFORMATICS NURSING

Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement

(2015) Gary S Collins et al.   BMC Medicine

A simple tool to predict admission at the time of triage

(2014) Allan Cameron et al.   EMERGENCY MEDICINE JOURNAL

Variation in Prehospital Use and Uptake of the National Field Triage Decision Scheme

(2013) Andy S. Barnett et al.   Prehospital Emergency Care

Abnormal vital signs are strong predictors for intensive care unit admission and in-hospital mortality in adults triaged in the emergency department - a prospective cohort study

(2012) Charlotte Barfod et al.   Scandinavian Journal of Trauma Resuscitation & Emergency Medicine

Predicting Hospital Admissions at Emergency Department Triage Using Routine Administrative Data

(2011) Yan Sun et al.   ACADEMIC EMERGENCY MEDICINE