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Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58740, first published .
Paramedics provide emergency medical care to a patient on the ground.

Enhancing Performance of the National Field Triage Guidelines Using Machine Learning: Development of a Prehospital Triage Model to Predict Severe Trauma

Enhancing Performance of the National Field Triage Guidelines Using Machine Learning: Development of a Prehospital Triage Model to Predict Severe Trauma

Journals

  1. Berikol G, Kanbakan A, Ilhan B, Doğanay F. Mapping artificial intelligence models in emergency medicine: A scoping review on artificial intelligence performance in emergency care and education. Turkish Journal of Emergency Medicine 2025;25(2):67 View
  2. Weidman A, Malakouti S, Salcido D, Zikmund C, Patel R, Weiss L, Pinsky M, Clermont G, Elmer J, Poropatich R, Brown J, Guyette F. A Machine Learning Trauma Triage Model for Critical Care Transport. JAMA Network Open 2025;8(6):e259639 View
  3. Zarei R, Downs M, Torgerson L. Artificial Intelligence in Prehospital Emergency Care: Advancing Triage and Destination Decisions for Time-Critical Conditions. Cureus 2025 View
  4. Seliverstov P, Shapkin Y, Stekolnikov N. Possibilities of Using Artificial Intelligence Technologies in Prehospital Trauma Care. Russian Sklifosovsky Journal "Emergency Medical Care" 2025;14(3):609 View
  5. Kalimouttou A, Perkins Z, Gauss T. Artificial intelligence-driven triage and decision-making in trauma systems/settings. Current Opinion in Anaesthesiology 2026;39(2):129 View
  6. Gulickx M, Lokerman R, van der Sluijs R, Tuinema R, van Vliet R, Hietbrink F, Groenwold R, van Heijl M. Development and external validation of a novel prediction model for the TraumaTriage App. European Journal of Trauma and Emergency Surgery 2026;52(1) View
  7. Miles J, Brady M, Smith L, Cotterill C, Levey C. Use of artificial intelligence in the out-of-hospital care settings: a scoping review. BMJ Digital Health & AI 2026;2(1):e000035 View
  8. Cheng F, Xu T, Mao J, Li Z, Wang Y. Advancements in smart healthcare in emergency trauma care: from intelligent triage to prognostic prediction. Frontiers in Public Health 2026;14 View
  9. Wolansky R, Kendall M, Hiraldo L, Sujka J, Kuo P. Beyond Thresholds: Can Machine Learning Improve Trauma Field Triage?. The American Surgeon™ 2026;92(11):3014 View
  10. Widiyawati K, Deviantony F. Artificial Intelligence in the Golden Hour: A scoping review of prehospital trauma triage and implementation feasibility in LMICs. International Journal of Medical Informatics 2026;220:106638 View
  11. Szentes R, Pertl M, Doyle B, Doyle F. Barriers and Enablers of Trauma Triage Tool Implementation in Ireland: A Qualitative Study of First Responders. HRB Open Research 2026;9:93 View
  12. Yang L, Li C, Wang X, Zeng Y, Zhang H. Artificial intelligence in emergency trauma perioperative management: applications, performance benchmarks, and translation barriers. Frontiers in Surgery 2026;13 View
  13. Jenkins P, Anand T, Kiraly L, Mohan V, Regner J, Sally M, Fletcher J, Doberne J, Thanawala R. Trauma Informatics. Annals of Surgery Open 2026;7(4):e712 View
  14. Ramalhete L, Oliveira V, Quintas R. Beyond the Hype: Artificial Intelligence as Decision Support in Emergency and Prehospital Medicine—A Critical Narrative Review. AI in Medicine 2026;1(4):28 View
  15. Stewart E, Scherer E, Cook A, Osta E, Cruz C, Kenwood M, Panda S, Manavi G, Houpt J, Rathbone C, Kudithipudi D, Jonas R, Limon D, Barry L, Goldberg M, Qutub A, Stewart R, Eastridge B. Deaths at Level IV Trauma Centers: A Statewide Comprehensive Analysis. The American Journal of Surgery 2026:117338 View

Books/Policy Documents

  1. Lizak A, Patel A, Wagner A, Windom R, Shahin D, Bauerle L, Ng Pellegrino A, A. Ullrich L. Academic Medicine - New Trends and Developments for the 2030s, Volume 2 [Working Title]. View
  2. Chen S, Peng K, Li H, Yin H. Proceedings of 2025 Chinese Intelligent Systems Conference. View