Concordance rate of radiologists and a commercialized deep-learning solution for chest X-ray: Real-world experience with a multicenter health screening cohort

PURPOSE: Lunit INSIGHT CXR (Lunit) is a commercially available deep-learning algorithm-based decision support system for chest radiography (CXR). This retrospective study aimed to evaluate the concordance rate of radiologists and Lunit for thoracic abnormalities in a multicenter health screening coh...

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Detalles Bibliográficos
Autores principales: Kim, Eun Young, Kim, Young Jae, Choi, Won-Jun, Jeon, Ji Soo, Kim, Moon Young, Oh, Dong Hyun, Jin, Kwang Nam, Cho, Young Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870572/
https://www.ncbi.nlm.nih.gov/pubmed/35202417
http://dx.doi.org/10.1371/journal.pone.0264383

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8870572/
https://www.ncbi.nlm.nih.gov/pubmed/35202417
http://dx.doi.org/10.1371/journal.pone.0264383

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