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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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Podrobná bibliografie
Vydáno v:PLoS One
Hlavní autoři: Kwon, TaeWoo, Lee, Sang Pyo, Kim, Dongmin, Jang, Jinseong, Lee, Myungjae, Kang, Shin Uk, Kim, Heejin, Oh, Keunyoung, On, Jinhee, Kim, Young Jae, Yun, So Jeong, Jin, Kwang Nam, Kim, Eun Young, Kim, Kwang Gi
Médium: Artigo
Jazyk:Inglês
Vydáno: Public Library of Science 2021
Témata:
On-line přístup: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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