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.
AI-SCoRE (artificial intelligence-SARS CoV2 risk evaluation): a fast, objective and fully automated platform to predict the outcome in COVID-19 patients / Palmisano, A., Vignale, D., Boccia, E., Nonis, A., Gnasso, C., Leone, R., Montagna, M., Nicoletti, V., Bianchi, A.G., Brusamolino, S., Dorizza, A., Moraschini, M., Veettil, R., Cereda, A., Toselli, M., Giannini, F., Loffi, M., Patelli, G., Monello, A., Iannopollo, G., et al.. - In: LA RADIOLOGIA MEDICA. - ISSN 1826-6983. - 127:9(2022), pp. 960-972. [10.1007/s11547-022-01518-0]
AI-SCoRE (artificial intelligence-SARS CoV2 risk evaluation): a fast, objective and fully automated platform to predict the outcome in COVID-19 patients
Palmisano, AnnaPrimo
;Vignale, DavideSecondo
;Gnasso, Chiara;Leone, Riccardo;Montagna, Marco;Nicoletti, Valeria;Di Serio, Clelia;Tacchetti, Carlo
Co-ultimo
;Esposito, Antonio
Co-ultimo
2022-01-01
Abstract
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.| File | Dimensione | Formato | |
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