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May 6, 2026SHILAP Revista de lepidopterología0 citationsOpen Access

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

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RDRyan P. DumasCFCaitlin Anne FitzgeraldJVJoshua A. Villarreal

Key Points

  • This review examines how artificial intelligence can improve decision-making processes in trauma care.
  • Narrative review of existing literature on AI applications in trauma care.
  • Focus on decision support systems in the trauma bay.
  • AI models provide quicker and more accurate decision-making support compared to traditional methods.
  • Integration of AI improves coordination among prehospital resources and trauma care processes.

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.

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Cite This Study

Dumas et al. (2026) studied this question.

synapsesocial.com/papers/69fada7f03f892aec9b1e359https://doi.org/10.1136/tsaco-2026-002259
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