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

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

BackgroundWhen 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 c...

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Bibliographic Details
Main Authors: Reiko Muto, Shigeki Fukuta, Tetsuo Watanabe, Yuichiro Shindo, Yoshihiro Kanemitsu, Shigehisa Kajikawa, Toshiyuki Yonezawa, Takahiro Inoue, Takuji Ichihashi, Yoshimune Shiratori, Shoichi Maruyama
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Medicine
Subjects:
clinical practice
COVID-19
artificial intelligence-human collaboration
sodium chloride difference
oxygen needs
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2022.1042067/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2022.1042067/full

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