Ghost in the Machine: Leveraging artificial intelligence in the trauma bay

Trauma Surgery & Acute Care Open 2026 Open access

Read full text
Authors: Emma Gilman Burke, Chloe Nobuhara, Alex H. F. Lee, Joshua Aaron Villarreal, Caitlin Anne Fitzgerald, Ryan Peter Dumas
DOI: 10.1136/tsaco-2026-002259
Cited by: 1
References: 78

Abstract

The first hour after injury, often termed the 'golden hour,' relies on rapid and accurate decision making to ensure timely delivery of trauma care. Coordination of prehospital resources, triage, resuscitation, and imaging is critical to patient outcomes. Unlike static algorithms or prediction scores, artificial intelligence (AI) models can integrate large volumes of data to provide actionable decision support. This narrative review explores current and emerging applications of AI in trauma care, specifically focusing on its role within the trauma bay.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Trauma and Emergency Care Studies Traumatic Brain Injury Research

Publication details

Journal / source
Trauma Surgery & Acute Care Open
Publisher
BMJ
Volume
11
Issue
Suppl 1
Pages
e002259–e002259
Publication date
1 April 2026
Language
EN