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February 28, 2026Current Opinion in Anaesthesiology4 citations

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

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AKAlexandre KalimouttouZPZane PerkinsTGTobias Gauss

Key Points

  • This research aims to evaluate the role of artificial intelligence in trauma triage and decision-making.
  • Evaluation of discrimination metrics related to AI performance
  • Analysis of calibration and clinical utility of AI systems
  • Assessment of human factors affecting AI integration in trauma settings
  • AI demonstrates potential to augment clinician decision-making under pressure
  • Emphasis on supporting cognitive capacity rather than complete automation

Abstract

Artificial intelligence has the potential to strengthen trauma triage by supporting cognitive work under pressure, but realizing this benefit requires rigorous evaluation extending beyond discrimination metrics to include calibration, clinical utility analysis, and human factors assessment. The most meaningful role for artificial intelligence is augmentation rather than automation, protecting clinicians' cognitive capacity for sound judgment.

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Cite This Study

Kalimouttou et al. (2026) studied this question.

synapsesocial.com/papers/69a285aa0a974eb0d3c009b4https://doi.org/10.1097/aco.0000000000001619
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