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Artificial intelligence in Emergency Medical Services dispatching: assessing the potential impact of an automatic speech recognition software on stroke detection taking the Capital Region of Denmark as case in point

BACKGROUND AND PURPOSE: Stroke recognition at the Emergency Medical Services (EMS) impacts the stroke treatment and thus the related health outcome. At the EMS Copenhagen 66.2% of strokes are detected by the Emergency Medical Dispatcher (EMD) and in Denmark approximately 50% of stroke patients arriv...

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Detalles Bibliográficos
Autores principales:	Scholz, Mirjam Lisa, Collatz-Christensen, Helle, Blomberg, Stig Nikolaj Fasmer, Boebel, Simone, Verhoeven, Jeske, Krafft, Thomas
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097123/ https://www.ncbi.nlm.nih.gov/pubmed/35549978 http://dx.doi.org/10.1186/s13049-022-01020-6

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