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March 1, 2026Journal of the American College of Surgeons3 citations

Improving Trauma Triage Accuracy with Large Language Models: A Comparison to Human Expert Decisions

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ABAscharya Kushidhan BalajiBFBrendan T FoxPSPhilip Seger

Key Points

  • To assess the accuracy of large language models in trauma triage compared to human experts, particularly in pediatric cases.
  • Conducted a retrospective review of pediatric trauma cases.
  • Compared triage accuracy between large language models and trauma staff decisions.
  • Evaluated the potential for clinical outcome validation and user acceptance.
  • Large language models achieved triage accuracy similar to that of trauma staff.
  • Further validation is necessary for generalizability and user acceptance in real-world settings.

Abstract

LLMs achieve triage accuracy comparable to trauma staff in retrospective review of pediatric trauma. Further validation is needed to assess clinical outcomes, generalizability, and user acceptance before widespread deployment.

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Cite This Study

Balaji et al. (2026) studied this question.

synapsesocial.com/papers/69a3ddf3ec16d51705d3048fhttps://doi.org/10.1097/xcs.0000000000001895
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1The Role of Large Language Models (LLMs) in Providing Triage for Maxillofacial Trauma Cases: A Preliminary Study2024 · 40 citations
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  3. 3Independent and collaborative performance of large language models and healthcare professionals in diagnosis and triage2026 · 6 citations
  4. 4Assessing acuity in pediatric emergency department triage: performance of a large language model2026
  5. 5Large Language Models (LLM) for Emergency Department Triage Based on Vital Signs2026 · 1 citations