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

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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Publication Details

Journal
Current Opinion in Anaesthesiology
Published
2026-02-17
DOI
https://doi.org/10.1097/aco.0000000000001619
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
17.70
Controls
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article

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

Zane Perkins, Alexandre Kalimouttou, Tobias Gauss
1 citations
Current Opinion in Anaesthesiology
Artificial Intelligence in Healthcare and Education
17.70
article

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

Zane Perkins, Alexandre Kalimouttou, Tobias Gauss
article en
1 citations

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.

Current Opinion in AnaesthesiologyVol. 39(2)
Queen Mary University of London (GB), Barts Health NHS Trust (GB), Grenoble Institute of Neurosciences (FR), Université Grenoble Alpes (FR)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 1%
Artificial Intelligence in Healthcare and Education
17.70
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