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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156322/
https://www.ncbi.nlm.nih.gov/pubmed/34069115
http://dx.doi.org/10.3390/diagnostics11050878

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8156322/
https://www.ncbi.nlm.nih.gov/pubmed/34069115
http://dx.doi.org/10.3390/diagnostics11050878

Ejemplares similares