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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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
Assuntos:
Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7807029/
https://ncbi.nlm.nih.gov/pubmed/33441578
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-79470-0
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