Initial chest radiographs and artificial intelligence (AI) predict clinical outcomes in COVID-19 patients: analysis of 697 Italian patients

OBJECTIVE: To evaluate whether the initial chest X-ray (CXR) severity assessed by an AI system may have prognostic utility in patients with COVID-19. METHODS: This retrospective single-center study included adult patients presenting to the emergency department (ED) between February 25 and April 9, 2...

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Bibliografiset tiedot
Julkaisussa:Eur Radiol
Päätekijät: Mushtaq, Junaid, Pennella, Renato, Lavalle, Salvatore, Colarieti, Anna, Steidler, Stephanie, Martinenghi, Carlo M. A., Palumbo, Diego, Esposito, Antonio, Rovere-Querini, Patrizia, Tresoldi, Moreno, Landoni, Giovanni, Ciceri, Fabio, Zangrillo, Alberto, De Cobelli, Francesco
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Springer Berlin Heidelberg 2020
Aiheet:
Imaging Informatics and Artificial Intelligence
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC7499014/
https://ncbi.nlm.nih.gov/pubmed/32945968
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00330-020-07269-8
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