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. 2024 May 23:17:191-211.
doi: 10.2147/MDER.S467146. eCollection 2024.

Artificial Intelligence in Emergency Trauma Care: A Preliminary Scoping Review

Christian Angelo I Ventura  1 , Edward E Denton  2 , Jessica A David  3
Affiliations

Artificial Intelligence in Emergency Trauma Care: A Preliminary Scoping Review

Christian Angelo I Ventura et al. Med Devices (Auckl). .

Abstract

This study aimed to analyze the use of generative artificial intelligence in the emergency trauma care setting through a brief scoping review of literature published between 2014 and 2024. An exploration of the NCBI repository was performed using a search string of selected keywords that returned N=87 results; articles that met the inclusion criteria (n=28) were reviewed and analyzed. Heterogeneity sources were explored and identified by a significance threshold of P < 0.10 or an I2 value exceeding 50%. If applicable, articles were categorized within three primary domains: triage, diagnostics, or treatment. Findings suggest that CNNs demonstrate strong diagnostic performance for diverse traumatic injuries, but generalized integration requires expanded prospective multi-center validation. Injury scoring models currently experience calibration gaps in mortality quantification and lesion localization that can undermine clinical utility by permitting false negatives. Triage predictive models now confront transparency, explainability, and healthcare ecosystem integration barriers limiting real-world translation. The most significant literature gap centers on treatment-oriented generative AI applications that provide real-time guidance for urgent trauma interventions rather than just analytical support.

Keywords: artificial intelligence; emergency medicine; machine-learning; traumatology.

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Conflict of interest statement

The authors report no known conflicts of interest, financial or otherwise in this work.

Figures

Figure 1
Figure 1
Study selection flow chart and overview of exclusion schema.
See this image and copyright information in PMC

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