Additional value of chest CT AI-based quantification of lung involvement in predicting death and ICU admission for COVID-19 patients

Additional value of chest CT AI-based quantification of lung involvement in predicting death and ICU admission for COVID-19 patients

Objectives: We evaluated the contribution of lung lesion quantification on chest CT using a clinical Artificial Intelligence (AI) software in predicting death and intensive care units (ICU) admission for COVID-19 patients. Methods: For 349 patients with positive COVID-19-PCR test that underwent a ch...

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Bibliographic Details
Main Authors: Eloise Galzin, Laurent Roche, Anna Vlachomitrou, Olivier Nempont, Heike Carolus, Alexander Schmidt-Richberg, Peng Jin, Pedro Rodrigues, Tobias Klinder, Jean-Christophe Richard, Karim Tazarourte, Marion Douplat, Alain Sigal, Maude Bouscambert-Duchamp, Salim Aymeric Si-Mohamed, Sylvain Gouttard, Adeline Mansuy, François Talbot, Jean-Baptiste Pialat, Olivier Rouvière, Laurent Milot, François Cotton, Philippe Douek, Antoine Duclos, Muriel Rabilloud, Loic Boussel
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Research in Diagnostic and Interventional Imaging
Subjects:
Prognosis
AI
COVID-19
Chest-CT
ICU
Online Access:http://www.sciencedirect.com/science/article/pii/S2772652522000187

Internet

http://www.sciencedirect.com/science/article/pii/S2772652522000187

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