The Influence of Artificial Intelligence (AI )Assisted Polyp Detection (Discovery System) on Visual Gaze Patterns During Real-time Colonoscopy (REVEAL)

August 12, 2025 updated by: Radboud University Medical Center

The Influence of Artificial Intelligence (AI) Assisted Polyp Detection (Discovery System) on Visual Gaze Patterns During Real-time Colonoscopy

In this study, the investigators aim to assess the influence of a computer-aided detection (CADe) system on the visual gaze patterns of endoscopists in order to further understand the effect of AI during real-time colonoscopy.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Actual)

52

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Gelderland
      • Nijmegen, Gelderland, Netherlands, 6500 HB
        • Radboud University Medical Center Nijmegen

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Adults who are referred for regular care colonoscopy

Description

Inclusion Criteria of patients:

  • Referred for diagnostic, screening or surveillance colonoscopy

Exclusion Criteria of patients:

  • Therapeutic procedure
  • Boston Bowel Prep Score (BBPS) score of <6

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Prospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Patients
Participating patients who undergo colonoscopy
Endoscopists CADe
Physicians performing CADe colonoscopy
endoscopists wear eye-tracking glasses during real-time colonoscopy
Endoscopists CC
Physicians performing conventional colonoscopy
endoscopists wear eye-tracking glasses during real-time colonoscopy

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Mean gaze time per area of influence
Time Frame: End of colonoscopy
End of colonoscopy

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 1, 2024

Primary Completion (Actual)

November 1, 2024

Study Completion (Actual)

November 30, 2024

Study Registration Dates

First Submitted

November 9, 2022

First Submitted That Met QC Criteria

November 16, 2022

First Posted (Actual)

November 17, 2022

Study Record Updates

Last Update Posted (Estimated)

August 15, 2025

Last Update Submitted That Met QC Criteria

August 12, 2025

Last Verified

April 1, 2025

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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