Scandinavian journal of trauma, resuscitation and emergency medicine
Artificial intelligence-driven clustering for phenotyping life-threatening prehospital trauma.
Rubén Pérez-García, Erik Alonso, Raúl López-Izquierdo, Carlos Del Pozo Vegas, Mikel Idoyaga, Asier Losada, José Luis Martín-Conty, Begoña Polonio-López, Ancor Sanz-García, Francisco Martín-Rodríguez
Published: 202610.1186/s13049-026-01553-0
Abstract
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 intelligen…
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