AI-SCoRE (artificial intelligence-SARS CoV2 risk evaluation): a fast, objective and fully automated platform to predict the outcome in COVID-19 patients

PURPOSE: To develop and validate an effective and user-friendly AI platform based on a few unbiased clinical variables integrated with advanced CT automatic analysis for COVID-19 patients’ risk stratification. MATERIAL AND METHODS: In total, 1575 consecutive COVID-19 adults admitted to 16 hospitals...

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Detalles Bibliográficos
Autores principales: Palmisano, Anna, Vignale, Davide, Boccia, Edda, Nonis, Alessandro, Gnasso, Chiara, Leone, Riccardo, Montagna, Marco, Nicoletti, Valeria, Bianchi, Antonello Giuseppe, Brusamolino, Stefano, Dorizza, Andrea, Moraschini, Marco, Veettil, Rahul, Cereda, Alberto, Toselli, Marco, Giannini, Francesco, Loffi, Marco, Patelli, Gianluigi, Monello, Alberto, Iannopollo, Gianmarco, Ippolito, Davide, Mancini, Elisabetta Maria, Pontone, Gianluca, Vignali, Luigi, Scarnecchia, Elisa, Iannacone, Mario, Baffoni, Lucio, Sperandio, Massimiliano, de Carlini, Caterina Chiara, Sironi, Sandro, Rapezzi, Claudio, Antiga, Luca, Jagher, Veronica, Di Serio, Clelia, Furlanello, Cesare, Tacchetti, Carlo, Esposito, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2022
Materias:
Cardiac Radiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9423702/
https://www.ncbi.nlm.nih.gov/pubmed/36038790
http://dx.doi.org/10.1007/s11547-022-01518-0

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