Automatized lung disease quantification in patients with COVID-19 as a predictive tool to assess hospitalization severity

The pandemic of COVID-19 led to a dramatic situation in hospitals, where staff had to deal with a huge number of patients in respiratory distress. To alleviate the workload of radiologists, we implemented an artificial intelligence (AI) - based analysis named CACOVID-CT, to automatically assess dise...

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Autors principals:	Julien Guiot, Nathalie Maes, Marie Winandy, Monique Henket, Benoit Ernst, Marie Thys, Anne-Noelle Frix, Philippe Morimont, Anne-Françoise Rousseau, Perrine Canivet, Renaud Louis, Benoît Misset, Paul Meunier, Jean-Paul Charbonnier, Bernard Lambermont
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2022-08-01
Col·lecció:	Frontiers in Medicine
Matèries:	SARS-CoV-2 CT scan analysis artificial intelligence mechanical ventilation risk severity of hospital stay prediction COVID-19
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fmed.2022.930055/full
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