Automated diagnosis and prognosis of COVID-19 pneumonia from initial ER chest X-rays using deep learning

BACKGROUND: Airspace disease as seen on chest X-rays is an important point in triage for patients initially presenting to the emergency department with suspected COVID-19 infection. The purpose of this study is to evaluate a previously trained interpretable deep learning algorithm for the diagnosis...

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Detalles Bibliográficos
Autores principales: Chamberlin, Jordan H., Aquino, Gilberto, Nance, Sophia, Wortham, Andrew, Leaphart, Nathan, Paladugu, Namrata, Brady, Sean, Baird, Henry, Fiegel, Matthew, Fitzpatrick, Logan, Kocher, Madison, Ghesu, Florin, Mansoor, Awais, Hoelzer, Philipp, Zimmermann, Mathis, James, W. Ennis, Dennis, D. Jameson, Houston, Brian A., Kabakus, Ismail M., Baruah, Dhiraj, Schoepf, U. Joseph, Burt, Jeremy R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301895/
https://www.ncbi.nlm.nih.gov/pubmed/35864468
http://dx.doi.org/10.1186/s12879-022-07617-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9301895/
https://www.ncbi.nlm.nih.gov/pubmed/35864468
http://dx.doi.org/10.1186/s12879-022-07617-7

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