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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
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 |
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