A deep learning model for predicting COVID-19 ARDS in critically ill patients

A deep learning model for predicting COVID-19 ARDS in critically ill patients

BackgroundThe coronavirus disease 2019 (COVID-19) is an acute infectious pneumonia caused by a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection previously unknown to humans. However, predictive studies of acute respiratory distress syndrome (ARDS) in patients with COVID-19 are...

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Bibliographic Details
Main Authors: Yang Zhou, Jinhua Feng, Shuya Mei, Ri Tang, Shunpeng Xing, Shaojie Qin, Zhiyun Zhang, Qiaoyi Xu, Yuan Gao, Zhengyu He
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Medicine
Subjects:
COVID-19
ARDS
deep learning
artificial intelligence
computated tomography
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2023.1221711/full

Internet

https://www.frontiersin.org/articles/10.3389/fmed.2023.1221711/full

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