Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results

PURPOSE: To evaluate whether early chest computed tomography (CT) lesions quantified by an artificial intelligence (AI)-based commercial software and blood test values at the initial presentation can differentiate the severity of COVID-19 pneumonia. MATERIALS AND METHODS: This retrospective study in...

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Detalles Bibliográficos
Autores principales: Okuma, Tomohisa, Hamamoto, Shinichi, Maebayashi, Tetsunori, Taniguchi, Akishige, Hirakawa, Kyoko, Matsushita, Shu, Matsushita, Kazuki, Murata, Katsuko, Manabe, Takao, Miki, Yukio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8120249/
https://www.ncbi.nlm.nih.gov/pubmed/33988788
http://dx.doi.org/10.1007/s11604-021-01134-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8120249/
https://www.ncbi.nlm.nih.gov/pubmed/33988788
http://dx.doi.org/10.1007/s11604-021-01134-4

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