Epidemiological Surveillance of the Impact of the COVID-19 Pandemic on Stroke Care Using Artificial Intelligence

BACKGROUND AND PURPOSE: The degree to which the coronavirus disease 2019 (COVID-19) pandemic has affected systems of care, in particular, those for time-sensitive conditions such as stroke, remains poorly quantified. We sought to evaluate the impact of COVID-19 in the overall screening for acute str...

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Detalles Bibliográficos
Autores principales: Nogueira, Raul G., Davies, Jason M., Gupta, Rishi, Hassan, Ameer E., Devlin, Thomas, Haussen, Diogo C., Mohammaden, Mahmoud H., Kellner, Christopher P., Arthur, Adam, Elijovich, Lucas, Owada, Kumiko, Begun, Dina, Narayan, Mukund, Mordenfeld, Nadia, Tekle, Wondwossen G., Nahab, Fadi, Jovin, Tudor G., Frei, Don, Siddiqui, Adnan H., Frankel, Michael R., Mocco, J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
Original Contributions
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8078127/
https://www.ncbi.nlm.nih.gov/pubmed/33657851
http://dx.doi.org/10.1161/STROKEAHA.120.031960

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8078127/
https://www.ncbi.nlm.nih.gov/pubmed/33657851
http://dx.doi.org/10.1161/STROKEAHA.120.031960

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