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The value of artificial intelligence techniques in predicting pancreatic ductal adenocarcinoma with EUS images: A meta-analysis and systematic review.
Yin, Hua; Yang, Xiaoli; Sun, Liqi; Pan, Peng; Peng, Lisi; Li, Keliang; Zhang, Deyu; Cui, Fang; Xia, Chuanchao; Huang, Haojie; Li, Zhaoshen.
Afiliação
  • Yin H; Department of Gastroenterology, General Hospital of Ningxia Medical University, Yinchuan; Department of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai; Postgraduate Training Base in Shanghai Gongli Hospital, Ningxia Medical University, Shanghai, China.
  • Yang X; Department of Gastroenterology, General Hospital of Ningxia Medical University, Yinchuan; Department of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai; Postgraduate Training Base in Shanghai Gongli Hospital, Ningxia Medical University, Shanghai, China.
  • Sun L; Department of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai, China.
  • Pan P; Department of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai, China.
  • Peng L; Department of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai, China.
  • Li K; Department of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, China.
  • Zhang D; Department of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai, China.
  • Cui F; Department of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai, China.
  • Xia C; Department of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai, China.
  • Huang H; Department of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai, China.
  • Li Z; Department of Gastroenterology, Changhai Hospital, Second Military Medical University, Shanghai, China.
Endosc Ultrasound ; 12(1): 50-58, 2023.
Article em En | MEDLINE | ID: mdl-35313419
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Screening_studies / Systematic_reviews Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Screening_studies / Systematic_reviews Idioma: En Ano de publicação: 2023 Tipo de documento: Article