Intubation and mortality prediction in hospitalized COVID-19 patients using a combination of convolutional neural network-based scoring of chest radiographs and clinical data

OBJECTIVE: To predict short-term outcomes in hospitalized COVID-19 patients using a model incorporating clinical variables with automated convolutional neural network (CNN) chest radiograph analysis. METHODS: A retrospective single center study was performed on patients consecutively admitted with C...

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Detalles Bibliográficos
Autores principales: O'Shea, Aileen, Li, Matthew D, Mercaldo, Nathaniel D, Balthazar, Patricia, Som, Avik, Yeung, Tristan, Succi, Marc D, Little, Brent P, Kalpathy-Cramer, Jayashree, Lee, Susanna I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The British Institute of Radiology. 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459864/
https://www.ncbi.nlm.nih.gov/pubmed/36105420
http://dx.doi.org/10.1259/bjro.20210062

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459864/
https://www.ncbi.nlm.nih.gov/pubmed/36105420
http://dx.doi.org/10.1259/bjro.20210062

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