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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Veröffentlicht in:Sci Rep
Hauptverfasser: 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.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Publishing Group UK 2021
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Article
Online Zugang: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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