Integrated model for COVID-19 diagnosis based on computed tomography artificial intelligence, and clinical features: a multicenter cohort study

BACKGROUND: We developed and validated a machine learning diagnostic model for the novel coronavirus (COVID-19) disease, integrating artificial-intelligence-based computed tomography (CT) imaging and clinical features. METHODS: We conducted a retrospective cohort study in 11 Japanese tertiary care f...

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Detalles Bibliográficos
Autores principales: Kataoka, Yuki, Kimura, Yuya, Ikenoue, Tatsuyoshi, Matsuoka, Yoshinori, Matsumoto, Junichi, Kumasawa, Junji, Tochitatni, Kentaro, Funakoshi, Hiraku, Hosoda, Tomohiro, Kugimiya, Aiko, Shirano, Michinori, Hamabe, Fumiko, Iwata, Sachiyo, Fukuma, Shingo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904977/
https://www.ncbi.nlm.nih.gov/pubmed/35284557
http://dx.doi.org/10.21037/atm-21-5571

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904977/
https://www.ncbi.nlm.nih.gov/pubmed/35284557
http://dx.doi.org/10.21037/atm-21-5571

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