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...

詳細記述

保存先:
書誌詳細
出版年:PLoS One
主要な著者: 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
フォーマット: Artigo
言語:Inglês
出版事項: Public Library of Science 2021
主題:
Research Article
オンライン･アクセス: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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