Predicting oxygen requirements in patients with coronavirus disease 2019 using an artificial intelligence-clinician model based on local non-image data

BACKGROUND: When facing unprecedented emergencies such as the coronavirus disease 2019 (COVID-19) pandemic, a predictive artificial intelligence (AI) model with real-time customized designs can be helpful for clinical decision-making support in constantly changing environments. We created models and...

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Detalles Bibliográficos
Autores principales: Muto, Reiko, Fukuta, Shigeki, Watanabe, Tetsuo, Shindo, Yuichiro, Kanemitsu, Yoshihiro, Kajikawa, Shigehisa, Yonezawa, Toshiyuki, Inoue, Takahiro, Ichihashi, Takuji, Shiratori, Yoshimune, Maruyama, Shoichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748157/
https://www.ncbi.nlm.nih.gov/pubmed/36530899
http://dx.doi.org/10.3389/fmed.2022.1042067

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9748157/
https://www.ncbi.nlm.nih.gov/pubmed/36530899
http://dx.doi.org/10.3389/fmed.2022.1042067

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