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

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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Bibliographic Details
Main Authors: Marie Laure Chabi, Ophélie Dana, Titouan Kennel, Alexia Gence-Breney, Hélène Salvator, Marie Christine Ballester, Marc Vasse, Anne Laure Brun, François Mellot, Philippe A. Grenier
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Diagnostics
Subjects:
COVID-19
pneumonia
quantitative CT
artificial intelligence
outcome prediction
multivariate analysis
Online Access:https://www.mdpi.com/2075-4418/11/5/878

Internet

https://www.mdpi.com/2075-4418/11/5/878

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