The implementation of computer-aided detection in an initial endoscopy training improves the quality measures of trainees' future colonoscopies: a retrospective cohort study.

Journal: Surgical endoscopy
Published Date: Jun 30, 2025

Abstract

INTRODUCTION: The implementation of computer-aided detection (CADe) systems has resulted in a growing number of young endoscopists being trained using AI-enhanced devices. The potential impact of AI-enhanced training on the trainees' future performance is undefined. This study aimed to evaluate the quality indicators of endoscopists trained in an AI environment compared to those trained conventionally.

Authors

  • Zofia Orzeszko
    Jagiellonian University, Faculty of Health Sciences, Krakow, Poland.
  • Tomasz Gach
    Jagiellonian University, Faculty of Health Sciences, Krakow, Poland.
  • Sandra Necka
    School of Medicine, Jagiellonian University Medical College, Krakow, Poland.
  • Kajetan Ochwat
    School of Medicine, Jagiellonian University Medical College, Krakow, Poland.
  • Piotr Major
    2nd Department of General Surgery, Jagiellonian University Medical College, Krakow, Poland.
  • Mirosław Szura
    Jagiellonian University, Faculty of Health Sciences, Krakow, Poland.

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