Combining Initial Radiographs and Clinical Variables Improves Deep Learning Prognostication in Patients with COVID-19 from the Emergency Department

PURPOSE: To train a deep learning classification algorithm to predict chest radiograph severity scores and clinical outcomes in patients with coronavirus disease 2019 (COVID-19). MATERIALS AND METHODS: In this retrospective cohort study, patients aged 21–50 years who presented to the emergency depar...

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Detalhes bibliográficos
Publicado no:Radiol Artif Intell
Main Authors: Kwon, Young Joon (Fred), Toussie, Danielle, Finkelstein, Mark, Cedillo, Mario A., Maron, Samuel Z., Manna, Sayan, Voutsinas, Nicholas, Eber, Corey, Jacobi, Adam, Bernheim, Adam, Gupta, Yogesh Sean, Chung, Michael S., Fayad, Zahi A., Glicksberg, Benjamin S., Oermann, Eric K., Costa, Anthony B.
Formato: Artigo
Idioma:Inglês
Publicado em: Radiological Society of North America 2020
Assuntos:
Original Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7754832/
https://ncbi.nlm.nih.gov/pubmed/33928257
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2020200098
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