Prehospital triage of trauma patients: predicting major surgery using artificial intelligence as decision support
Utilizing AI early in the prehospital phase of a trauma patient's trajectory can predict specialized surgical needs. This approach has the potential to aid the early triage of trauma patients.
Authors
- Martin Sillesen (ORCID: https://orcid.org/0000-0001-9494-5475)
- Søren Steemann Rudolph (ORCID: https://orcid.org/0000-0001-7846-4612)
- Fredrik Folke (ORCID: https://orcid.org/0000-0002-2284-7857)
- Andreas Skov Millarch
- Haytham M Kaafarani
Institutions
- University of Copenhagen (DK)
- Harvard University (US)
- Copenhagen University Hospital (DK)
- Gentofte Hospital (DK)
- Rigshospitalet (DK)
- Massachusetts General Hospital (US)
Publication Details
- Journal
- British journal of surgery
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1093/bjs/znaf058
- Citations
- 7
- Primary Topic
- Trauma and Emergency Care Studies
- Type
- article
- Field-Weighted Citation Impact
- 15.77
Funders
- Novo Nordisk Fonden