Prospective Evaluation of Real-Time Artificial Intelligence for the Hill Classification of the Gastroesophageal Junction.

Journal: United European gastroenterology journal
PMID:

Abstract

BACKGROUND: Assessment of the gastroesophageal junction (GEJ) is an integral part of gastroscopy; however, the absence of standardized reporting hinders consistency of examination documentation. The Hill classification offers a standardized approach for evaluating the GEJ. This study aims to compare the accuracy of an artificial intelligence (AI) system with that of physicians in classifying the GEJ according to Hill in a prospective, blinded, superiority trial.

Authors

  • Ioannis Kafetzis
    Interventional and Experimental Endoscopy (InExEn), Internal Medicine II, University Hospital Würzburg, Würzburg, Germany.
  • Philipp Sodmann
    Institute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany. DZHK (German Center for Cardiological Research), partner site Greifswald, Greifswald, Germany.
  • Bianca-Elena Herghelegiu
    Interventional and Experimental Endoscopy (InExEn), Department of Internal Medicine 2, University Hospital Würzburg, Würzburg, Germany.
  • Markus Brand
    Interventional and Experimental Endoscopy (InExEn), Department of Internal Medicine II, University Hospital Würzburg, Würzburg, Germany.
  • Wolfram G Zoller
    Department of Internal Medicine and Gastroenterology, Katharinenhospital, Stuttgart, Germany.
  • Florian Seyfried
    Department of General, Visceral, Transplantation, Vascular, and Pediatric Surgery, Center of Operative Medicine (ZOM), University Hospital Würzburg, Würzburg, Germany.
  • Karl-Hermann Fuchs
    Interventional and Experimental Endoscopy (InExEn), Department of Internal Medicine 2, University Hospital Würzburg, Oberdürrbacherstr. 6, 97080, Würzburg, Germany.
  • Alexander Meining
    Department of Gastroenterology, University of Würzburg, Würzburg, Germany.
  • Alexander Hann
    Department of Internal Medicine II, Interventional and Experimental Endoscopy (InExEn), University Hospital Wuerzburg, Würzburg, Germany.