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

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 variables...

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Detalles Bibliográficos
Autores principales: Duanmu, Hongyi, Ren, Thomas, Li, Haifang, Mehta, Neil, Singer, Adam J., Levsky, Jeffrey M., Lipton, Michael L., Duong, Tim Q.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9568988/
https://www.ncbi.nlm.nih.gov/pubmed/36242040
http://dx.doi.org/10.1186/s12938-022-01045-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9568988/
https://www.ncbi.nlm.nih.gov/pubmed/36242040
http://dx.doi.org/10.1186/s12938-022-01045-z

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