Endoscopy 2022; 54(04): v17
DOI: 10.1055/a-1540-3373
Author commentary

Author commentary on Leonardo Frazzoni et al.

› Weitere Informationen
Auch verfügbar auf
 
  Lizenzen und Reprints

    Leonardo Frazzoni et al. Endoscopistsʼ diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studies

    This systematic review addressed miss rates for upper gastrointestinal neoplasia (UGIN) using the framework of artificial intelligence validation studies. Authors reported an endoscopist sensitivity of 82% for UGIN with a higher accuracy for gastric cancer compared with squamous cell neoplasia and Barrett esophagus-related neoplasia.

    #

    Publikationsverlauf

    Artikel online veröffentlicht:
    29. März 2022

    © 2022. Thieme. All rights reserved.

    Georg Thieme Verlag KG
    Rüdigerstraße 14, 70469 Stuttgart, Germany

    Einführung zu:

    Endoscopistsʼ diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studiesEndoscopy 2022; 54(04): 403-411
    DOI: 10.1055/a-1500-3730

      Lizenzen und Reprints