Machine learning models powered by emergency medical services data enhance stroke triage in prehospital settings

Abstract Timely stroke diagnosis is essential for delivering life-saving treatments, yet current prehospital stroke assessment tools often lead to missed or delayed diagnoses. Emergency Medical Services (EMS) increasingly collect detailed data during transport, offering an opportunity to develop AI-...

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Autori principali:	Michael Saban, Grant Hiura, Paula de la Peña, Amy Wozniak, Daniel Heiferman, Oguz Akbilgic, Mark Cichon, Samie Tootooni
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Nature Portfolio 2026-02-01
Serie:	Scientific Reports
Soggetti:	Stroke Prehospital data Emergency medical services Artificial intelligence Decision support Emergency department
Accesso online:	https://doi.org/10.1038/s41598-026-37069-x
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