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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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Kaydedildi:
Asıl Yazarlar: Michael Saban, Grant Hiura, Paula de la Peña, Amy Wozniak, Daniel Heiferman, Oguz Akbilgic, Mark Cichon, Samie Tootooni
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Nature Portfolio 2026-02-01
Seri Bilgileri:Scientific Reports
Konular:
Stroke
Prehospital data
Emergency medical services
Artificial intelligence
Decision support
Emergency department
Online Erişim:https://doi.org/10.1038/s41598-026-37069-x
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