Newly developed artificial intelligence algorithm for COVID-19 pneumonia: utility of quantitative CT texture analysis for prediction of favipiravir treatment effect

PURPOSE: Using CT findings from a prospective, randomized, open-label multicenter trial of favipiravir treatment of COVID-19 patients, the purpose of this study was to compare the utility of machine learning (ML)-based algorithm with that of CT-determined disease severity score and time from disease...

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Detalles Bibliográficos
Autores principales: Ohno, Yoshiharu, Aoyagi, Kota, Arakita, Kazumasa, Doi, Yohei, Kondo, Masashi, Banno, Sumi, Kasahara, Kei, Ogawa, Taku, Kato, Hideaki, Hase, Ryota, Kashizaki, Fumihiro, Nishi, Koichi, Kamio, Tadashi, Mitamura, Keiko, Ikeda, Nobuhiro, Nakagawa, Atsushi, Fujisawa, Yasuko, Taniguchi, Akira, Ikeda, Hirotaka, Hattori, Hidekazu, Murayama, Kazuhiro, Toyama, Hiroshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993669/
https://www.ncbi.nlm.nih.gov/pubmed/35396667
http://dx.doi.org/10.1007/s11604-022-01270-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993669/
https://www.ncbi.nlm.nih.gov/pubmed/35396667
http://dx.doi.org/10.1007/s11604-022-01270-5

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