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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Detalles Bibliográficos
Autores principales: Galzin, Eloise, Roche, Laurent, Vlachomitrou, Anna, Nempont, Olivier, Carolus, Heike, Schmidt-Richberg, Alexander, Jin, Peng, Rodrigues, Pedro, Klinder, Tobias, Richard, Jean-Christophe, Tazarourte, Karim, Douplat, Marion, Sigal, Alain, Bouscambert-Duchamp, Maude, Si-Mohamed, Salim Aymeric, Gouttard, Sylvain, Mansuy, Adeline, Talbot, François, Pialat, Jean-Baptiste, Rouvière, Olivier, Milot, Laurent, Cotton, François, Douek, Philippe, Duclos, Antoine, Rabilloud, Muriel, Boussel, Loic
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Authors. Published by Elsevier Masson SAS on behalf of Société française de radiologie. 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716289/
https://www.ncbi.nlm.nih.gov/pubmed/37284031
http://dx.doi.org/10.1016/j.redii.2022.100018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9716289/
https://www.ncbi.nlm.nih.gov/pubmed/37284031
http://dx.doi.org/10.1016/j.redii.2022.100018

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