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Artificial intelligence-driven triage and decision-making in trauma systems/settings.

Alexandre Kalimouttou1, Zane Perkins2,3, Tobias Gauss1

  • 1Department of Anesthesiology and Intensive Care Medicine, Grenoble Alps University Hospital, Grenoble, France.

Current Opinion in Anaesthesiology
|February 26, 2026
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) can enhance trauma care by improving decision-making and situational awareness. While AI shows promise in predicting patient needs and aiding triage, its real-world clinical benefit requires further rigorous evaluation.

Keywords:
artificial intelligencedecision supportdeep learninglarge language modelsmachine learningtraumatriage

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Trauma Surgery

Background:

  • Trauma care necessitates rapid decisions under pressure, challenging situational awareness.
  • Artificial intelligence (AI) can process complex data to aid clinical judgment and improve care coordination.

Purpose of the Study:

  • To review recent advancements in AI-enabled triage and decision support systems.
  • To examine AI applications across prehospital, emergency department, and mass-casualty settings.

Main Methods:

  • Review of current literature on AI in trauma care.
  • Analysis of machine learning and deep learning applications.
  • Evaluation of AI in prehospital, ED, and mass-casualty scenarios.

Main Results:

  • AI models predict intervention needs and mortality with expert-level performance.
  • AI tools assist in real-time hemorrhage detection and worklist triage.
  • Wearable sensors and drone-based AI offer automated triage and vital sign assessment in mass-casualty events.

Conclusions:

  • AI has significant potential to augment trauma triage and support clinical decision-making.
  • Rigorous evaluation focusing on clinical utility and human factors is crucial for AI integration.
  • AI should augment, not automate, clinical judgment to preserve cognitive capacity.