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.
Authors
- Zane Perkins (ORCID: https://orcid.org/0000-0003-4807-8803)
- Alexandre Kalimouttou
- Tobias Gauss
Institutions
- Queen Mary University of London (GB)
- Barts Health NHS Trust (GB)
- Grenoble Institute of Neurosciences (FR)
- Université Grenoble Alpes (FR)
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