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Article

Artificial intelligence-driven clustering for phenotyping life-threatening prehospital trauma.

Scandinavian journal of trauma, resuscitation and emergency medicine - 15 Jan 2026

Pérez-García Rubén, Alonso Erik, López-Izquierdo Raúl, Del Pozo Vegas Carlos, Idoyaga Mikel, Losada Asier, Martín-Conty José Luis, Polonio-López Begoña, Sanz-García Ancor, Martín-Rodríguez Francisco

Abstract excerpt

BACKGROUND: Traumatic patients usually suffer from several complex conditions that hinder their risk characterization. The aim of this study was to derive phenotypes of prehospital acute life-threatening trauma via nonsupervised artificial intelligence (AI) clustering methods. METHODS: This was a prospective multicenter study in adult trauma patients treated in prehospital care and transferred to the emergency...

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Identifiers

PMID: 41535939
DOI: 10.1186/s13049-026-01553-0
PMCID: PMC12892782

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

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