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Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study.
Kim, Hyo-Eun; Kim, Hak Hee; Han, Boo-Kyung; Kim, Ki Hwan; Han, Kyunghwa; Nam, Hyeonseob; Lee, Eun Hye; Kim, Eun-Kyung.
Afiliación
  • Kim HE; Lunit, Seoul, South Korea.
  • Kim HH; Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Han BK; Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
  • Kim KH; Lunit, Seoul, South Korea.
  • Han K; Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Nam H; Lunit, Seoul, South Korea.
  • Lee EH; Department of Radiology, Soonchunhyang University Hospital Bucheon, Soonchunhyang University College of Medicine, Bucheon, South Korea.
  • Kim EK; Department of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea. Electronic address: ekkim@yuhs.ac.
Lancet Digit Health ; 2(3): e138-e148, 2020 03.
Article en En | MEDLINE | ID: mdl-33334578

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Inteligencia Artificial / Mamografía / Detección Precoz del Cáncer Tipo de estudio: Diagnostic_studies / Observational_studies / Screening_studies Límite: Adult / Female / Humans / Middle aged Idioma: En Revista: Lancet Digit Health Año: 2020 Tipo del documento: Article País de afiliación: Corea del Sur

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Inteligencia Artificial / Mamografía / Detección Precoz del Cáncer Tipo de estudio: Diagnostic_studies / Observational_studies / Screening_studies Límite: Adult / Female / Humans / Middle aged Idioma: En Revista: Lancet Digit Health Año: 2020 Tipo del documento: Article País de afiliación: Corea del Sur