Artificial intelligence-supported lung cancer detection by multi-institutional readers with multi-vendor chest radiographs: a retrospective clinical validation study

BACKGROUND: We investigated the performance improvement of physicians with varying levels of chest radiology experience when using a commercially available artificial intelligence (AI)-based computer-assisted detection (CAD) software to detect lung cancer nodules on chest radiographs from multiple v...

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Detalles Bibliográficos
Autores principales: Ueda, Daiju, Yamamoto, Akira, Shimazaki, Akitoshi, Walston, Shannon Leigh, Matsumoto, Toshimasa, Izumi, Nobuhiro, Tsukioka, Takuma, Komatsu, Hiroaki, Inoue, Hidetoshi, Kabata, Daijiro, Nishiyama, Noritoshi, Miki, Yukio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8524996/
https://www.ncbi.nlm.nih.gov/pubmed/34663260
http://dx.doi.org/10.1186/s12885-021-08847-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8524996/
https://www.ncbi.nlm.nih.gov/pubmed/34663260
http://dx.doi.org/10.1186/s12885-021-08847-9

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