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Related Experiment Videos

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

Emma Gilman Burke1, Chloe Nobuhara2, Alex H Lee2

  • 1Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas, USA.

Trauma Surgery & Acute Care Open
|May 7, 2026
PubMed
Summary

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Artificial intelligence (AI) can improve trauma care by analyzing patient data for faster, more accurate decisions during the critical

Area of Science:

  • Emergency Medicine
  • Medical Informatics
  • Trauma Surgery

Background:

  • The initial hour post-injury, or 'golden hour,' demands swift, precise decision-making for effective trauma care.
  • Optimal patient outcomes depend on coordinated prehospital resources, triage, resuscitation, and imaging.
  • Traditional methods like static algorithms have limitations in integrating complex patient data.

Purpose of the Study:

  • To review the current and developing uses of artificial intelligence (AI) in trauma care.
  • To examine AI's specific applications within the trauma bay environment.

Main Methods:

  • This study employed a narrative review methodology.
  • Literature search focused on artificial intelligence applications in trauma resuscitation and decision support.
Keywords:
Diagnostic imagingEmergency Medical ServicesMultiple Traumatriage

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Main Results:

  • AI models can process extensive data, offering superior decision support compared to static tools.
  • Emerging AI applications show promise for enhancing trauma bay operations.

Conclusions:

  • Artificial intelligence offers significant potential to optimize decision-making in the trauma bay.
  • AI integration can lead to more efficient and effective trauma care delivery.