Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs

RATIONALE AND OBJECTIVES: Radiographic findings of COVID-19 pneumonia can be used for patient risk stratification; however, radiologist reporting of disease severity is inconsistent on chest radiographs (CXRs). We aimed to see if an artificial intelligence (AI) system could help improve radiologist...

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Dettagli Bibliografici
Pubblicato in:Acad Radiol
Autori principali: Li, Matthew D., Little, Brent P., Alkasab, Tarik K., Mendoza, Dexter P., Succi, Marc D., Shepard, Jo-Anne O., Lev, Michael H., Kalpathy-Cramer, Jayashree
Natura: Artigo
Lingua:Inglês
Pubblicazione: The Association of University Radiologists. Published by Elsevier Inc. 2021
Soggetti:
Preliminary Investigation
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7813473/
https://ncbi.nlm.nih.gov/pubmed/33485773
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.acra.2021.01.016
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