Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study

To compare the performance of artificial intelligence (AI) and Radiographic Assessment of Lung Edema (RALE) scores from frontal chest radiographs (CXRs) for predicting patient outcomes and the need for mechanical ventilation in COVID-19 pneumonia. Our IRB-approved study included 1367 serial CXRs fro...

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Detalles Bibliográficos
Autores principales: Ebrahimian, Shadi, Homayounieh, Fatemeh, Rockenbach, Marcio A. B. C., Putha, Preetham, Raj, Tarun, Dayan, Ittai, Bizzo, Bernardo C., Buch, Varun, Wu, Dufan, Kim, Kyungsang, Li, Quanzheng, Digumarthy, Subba R., Kalra, Mannudeep K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807029/
https://www.ncbi.nlm.nih.gov/pubmed/33441578
http://dx.doi.org/10.1038/s41598-020-79470-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807029/
https://www.ncbi.nlm.nih.gov/pubmed/33441578
http://dx.doi.org/10.1038/s41598-020-79470-0

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