Clinical utilization of artificial intelligence-based COVID-19 pneumonia quantification using chest computed tomography – a multicenter retrospective cohort study in Japan

BACKGROUND: Computed tomography (CT) imaging and artificial intelligence (AI)-based analyses have aided in the diagnosis and prediction of the severity of COVID-19. However, the potential of AI-based CT quantification of pneumonia in assessing patients with COVID-19 has not yet been fully explored....

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Detalles Bibliográficos
Autores principales: Tanaka, Hiromu, Maetani, Tomoki, Chubachi, Shotaro, Tanabe, Naoya, Shiraishi, Yusuke, Asakura, Takanori, Namkoong, Ho, Shimada, Takashi, Azekawa, Shuhei, Otake, Shiro, Nakagawara, Kensuke, Fukushima, Takahiro, Watase, Mayuko, Terai, Hideki, Sasaki, Mamoru, Ueda, Soichiro, Kato, Yukari, Harada, Norihiro, Suzuki, Shoji, Yoshida, Shuichi, Tateno, Hiroki, Yamada, Yoshitake, Jinzaki, Masahiro, Hirai, Toyohiro, Okada, Yukinori, Koike, Ryuji, Ishii, Makoto, Hasegawa, Naoki, Kimura, Akinori, Imoto, Seiya, Miyano, Satoru, Ogawa, Seishi, Kanai, Takanori, Fukunaga, Koichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10552312/
https://www.ncbi.nlm.nih.gov/pubmed/37798709
http://dx.doi.org/10.1186/s12931-023-02530-2

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