Automated AI-Driven CT Quantification of Lung Disease Predicts Adverse Outcomes in Patients Hospitalized for COVID-19 Pneumonia

The purpose of our work was to assess the independent and incremental value of AI-derived quantitative determination of lung lesions extent on initial CT scan for the prediction of clinical deterioration or death in patients hospitalized with COVID-19 pneumonia. 323 consecutive patients (mean age 65...

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Detalhes bibliográficos
Publicado no:Diagnostics (Basel)
Main Authors: Chabi, Marie Laure, Dana, Ophélie, Kennel, Titouan, Gence-Breney, Alexia, Salvator, Hélène, Ballester, Marie Christine, Vasse, Marc, Brun, Anne Laure, Mellot, François, Grenier, Philippe A.
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2021
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8156322/
https://ncbi.nlm.nih.gov/pubmed/34069115
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics11050878
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