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Development of artificial intelligence system for quality control of photo documentation in esophagogastroduodenoscopy.
Choi, Seong Ji; Khan, Mohammad Azam; Choi, Hyuk Soon; Choo, Jaegul; Lee, Jae Min; Kwon, Soonwook; Keum, Bora; Chun, Hoon Jai.
Afiliación
  • Choi SJ; Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Republic of Korea.
  • Khan MA; Graduate School of Artificial Intelligence, KAIST, Daejeon, Republic of Korea.
  • Choi HS; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea. mdkorea@gmail.com.
  • Choo J; Graduate School of Artificial Intelligence, KAIST, Daejeon, Republic of Korea. jchoo@kaist.ac.kr.
  • Lee JM; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
  • Kwon S; Department of Anatomy, School of Medicine, Catholic University of Daegu, Daegu, Republic of Korea.
  • Keum B; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
  • Chun HJ; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Surg Endosc ; 36(1): 57-65, 2022 01.
Article en En | MEDLINE | ID: mdl-33415420
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Endoscopía Gastrointestinal Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Surg Endosc Asunto de la revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Año: 2022 Tipo del documento: Article
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Endoscopía Gastrointestinal Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Surg Endosc Asunto de la revista: DIAGNOSTICO POR IMAGEM / GASTROENTEROLOGIA Año: 2022 Tipo del documento: Article