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Artificial intelligence assistance in deciding management strategies for polytrauma and trauma patients
Author(s)
Angthong, Chayanin
Rungrattanawilai, Naruebade
Pundee, Chaiyapruk
Date Issued
January 1, 2024
Type
Review
Abstract
Introduction: Artificial intelligence (AI) is an emerging technology with vast potential for use in several fields of medicine. However, little is known about the application of AI in treatment decisions for patients with polytrauma. In this systematic review, we investigated the benefits and performance of AI in predicting the management of patients with polytrauma and trauma. Methods: This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies were extracted from the PubMed and Google Scholar databases from their inception until November 2022, using the search terms “Artificial intelligence” AND “polytrauma” AND “decision”. Seventeen articles were identified and screened for eligibility. Animal studies, review articles, systematic reviews, meta-analyses, and studies that did not involve polytrauma or severe trauma management decisions were excluded. Eight studies were eligible for final review. Results: Eight studies focusing on patients with trauma, including two on military trauma, were included. The AI applications were mainly implemented for predictions and/or decisions on shock, bleeding, and blood transfusion. Few studies predicted death/survival. The identification of trauma patients using AI was proposed in a previous study. The overall performance of AI was good (six studies), excellent (one study), and acceptable (one study). Discussion: AI demonstrated satisfactory performance in decision-making and management prediction in patients with polytrauma/severe trauma, especially in situations of shock/bleeding. Importance: The present study serves as a basis for further research to develop practical AI applications for the management of patients with trauma.
Citation
Polski Przeglad Chirurgiczny Polish Journal of Surgery, 96, 2024