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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...
Gorde:
| Argitaratua izan da: | Sci Rep |
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| Egile Nagusiak: | , , , , , , , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Nature Publishing Group UK
2021
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| Gaiak: | |
| Sarrera elektronikoa: | 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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