The Augmented Colonoscopy with Computer-Aided polyp Characterization (AC-CADx) study - prospective study comparing the diagnostic reliability of optical diagnosis of trainees with experts without AI.

Journal: The American journal of gastroenterology
Published Date: May 28, 2025

Abstract

INTRODUCTION: Optical diagnosis is an essential part of a high-quality colonoscopy, but highly experience-dependent. Artificial intelligence in the form of computer-aided diagnosis (CADx) may bridge the gap between trainee endoscopists and experts. The aim of this study is to evaluate the diagnostic reliability of optical diagnosis of trainee endoscopists with the help of AI compared to experts.

Authors

  • Sebastian Bernhofer
    Karl Landsteiner University of Health Sciences, Gastrointestinal Endoscopy Quality Matters working group (GIEQM), Dr. Karl-Dorrek-Straße 30, 3500, Krems, Austria.
  • Julian Prosenz
    Karl Landsteiner University of Health Sciences, Gastrointestinal Endoscopy Quality Matters working group (GIEQM), Dr. Karl-Dorrek-Straße 30, 3500, Krems, Austria.
  • Christine Duller
    Institute of Applied Statistics, Johannes Kepler University Linz, Altenberger Straße 69, 4040 Linz, Austria.
  • David Venturi
    Karl Landsteiner University of Health Sciences, Gastrointestinal Endoscopy Quality Matters working group (GIEQM), Dr. Karl-Dorrek-Straße 30, 3500, Krems, Austria.
  • Andreas Maieron
    Karl Landsteiner University of Health Sciences, Gastrointestinal Endoscopy Quality Matters working group (GIEQM), Dr. Karl-Dorrek-Straße 30, 3500, Krems, Austria.

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