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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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049482/
https://www.ncbi.nlm.nih.gov/pubmed/33857181
http://dx.doi.org/10.1371/journal.pone.0249399

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8049482/
https://www.ncbi.nlm.nih.gov/pubmed/33857181
http://dx.doi.org/10.1371/journal.pone.0249399

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