Deep learning of longitudinal chest X-ray and clinical variables predicts duration on ventilator and mortality in COVID-19 patients

Deep learning of longitudinal chest X-ray and clinical variables predicts duration on ventilator and mortality in COVID-19 patients

Abstract Objectives To use deep learning of serial portable chest X-ray (pCXR) and clinical variables to predict mortality and duration on invasive mechanical ventilation (IMV) for Coronavirus disease 2019 (COVID-19) patients. Methods This is a retrospective study. Serial pCXR and serial clinical va...

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Bibliographic Details
Main Authors: Hongyi Duanmu, Thomas Ren, Haifang Li, Neil Mehta, Adam J. Singer, Jeffrey M. Levsky, Michael L. Lipton, Tim Q. Duong
Format: Article
Language:English
Published: BMC 2022-10-01
Series:BioMedical Engineering OnLine
Subjects:
Coronavirus
Deep learning
Chest X-ray
Mortality
Ventilation
Online Access:https://doi.org/10.1186/s12938-022-01045-z

Internet

https://doi.org/10.1186/s12938-022-01045-z

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