Artificial intelligence to predict the need for mechanical ventilation in cases of severe COVID-19

OBJECTIVE: To determinate the accuracy of computed tomography (CT) imaging assessed by deep neural networks for predicting the need for mechanical ventilation (MV) in patients hospitalized with severe acute respiratory syndrome due to coronavirus disease 2019 (COVID-19). MATERIALS AND METHODS: This...

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Detalles Bibliográficos
Autores principales: de Godoy, Mariana Frizzo, Chatkin, José Miguel, Rodrigues, Rosana Souza, Forte, Gabriele Carra, Marchiori, Edson, Gavenski, Nathan, Barros, Rodrigo Coelho, Hochhegger, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10165968/
https://www.ncbi.nlm.nih.gov/pubmed/37168039
http://dx.doi.org/10.1590/0100-3984.2022.0049

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10165968/
https://www.ncbi.nlm.nih.gov/pubmed/37168039
http://dx.doi.org/10.1590/0100-3984.2022.0049

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