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Diagnostic performance of artificial intelligence model for pneumonia from chest radiography
OBJECTIVE: The chest X-ray (CXR) is the most readily available and common imaging modality for the assessment of pneumonia. However, detecting pneumonia from chest radiography is a challenging task, even for experienced radiologists. An artificial intelligence (AI) model might help to diagnose pneum...
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| Publicado no: | PLoS One |
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| Main Authors: | , , , , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8049482/ https://ncbi.nlm.nih.gov/pubmed/33857181 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0249399 |
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