The impact of artificial intelligence on the adenoma detection rate : Comparison between experienced, intermediate and trainee endoscopists' adenoma detection rate.

Journal: Wiener klinische Wochenschrift
Published Date:

Abstract

BACKGROUND: Artificial intelligence (AI) is a promising tool to achieve a high adenoma detection rate (ADR). The aim of this study is to evaluate the impact of a computer-aided detection (CADe) device on the ADRs of endoscopists with different levels of expertise.

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.
  • 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.

Keywords

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