Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human/artificial intelligence interaction.

Journal: Gastrointestinal endoscopy
PMID: 38942330

Abstract

BACKGROUND AND AIMS: Computer-aided diagnosis (CADx) for the optical diagnosis of colorectal polyps is thoroughly investigated. However, studies on human-artificial intelligence interaction are lacking. Our aim was to investigate endoscopists' trust in CADx by evaluating whether communicating a calibrated algorithm confidence score improved trust.

Authors

  • Quirine E W van der Zander
    Department of Gastroenterology and Hepatology, Maastricht University Medical Center, Maastricht, The Netherlands; GROW, School for Oncology and Reproduction, Maastricht University, Maastricht, The Netherlands. Electronic address: q.vanderzander@maastrichtuniversity.nl.
  • Rachel Roumans
    Human-Technology Interaction, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Carolus H J Kusters
    Department of Electrical Engineering, Video Coding & Architectures, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Nikoo Dehghani
    Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven The Netherlands.
  • Ad A M Masclee
    Department of Gastroenterology and Hepatology, Maastricht University Medical Center, Maastricht, The Netherlands.
  • Peter H N de With
    Eindhoven University of Technology, 5612 AJ, Eindhoven, The Netherlands.
  • Fons van der Sommen
    VCA Research Group, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Chris C P Snijders
    Human-Technology Interaction, Eindhoven University of Technology, Eindhoven, The Netherlands.
  • Erik J Schoon
    Department of Gastroenterology and Hepatology, Catharina Hospital Eindhoven, Eindhoven, the Netherlands.

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