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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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