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Decision effect of a deep-learning model to assist a head computed tomography order for pediatric traumatic brain injury.
Heo, Sejin; Ha, Juhyung; Jung, Weon; Yoo, Suyoung; Song, Yeejun; Kim, Taerim; Cha, Won Chul.
Afiliación
  • Heo S; Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81, Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
  • Ha J; Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.
  • Jung W; Department of Computer Science, Indiana University Bloomington, Bloomington, IN, USA.
  • Yoo S; Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.
  • Song Y; Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.
  • Kim T; Department of Digital Health, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea.
  • Cha WC; Department of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81, Irwon-ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
Sci Rep ; 12(1): 12454, 2022 07 21.
Article en En | MEDLINE | ID: mdl-35864281
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Hemorragia Intracraneal Traumática / Lesiones Traumáticas del Encéfalo / Aprendizaje Profundo / Traumatismos Craneocerebrales Tipo de estudio: Prognostic_studies Límite: Child / Humans Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Hemorragia Intracraneal Traumática / Lesiones Traumáticas del Encéfalo / Aprendizaje Profundo / Traumatismos Craneocerebrales Tipo de estudio: Prognostic_studies Límite: Child / Humans Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article Pais de publicación: Reino Unido