The Influence of Artificial Intelligence (AI )Assisted Polyp Detection (Discovery System) on Visual Gaze Patterns During Real-time Colonoscopy
REVEAL
1 other identifier
observational
52
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Jun 2024
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
November 9, 2022
CompletedFirst Posted
Study publicly available on registry
November 17, 2022
CompletedStudy Start
First participant enrolled
June 1, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 1, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
November 30, 2024
CompletedAugust 15, 2025
April 1, 2025
5 months
November 9, 2022
August 12, 2025
Conditions
Outcome Measures
Primary Outcomes (1)
Mean gaze time per area of influence
End of colonoscopy
Study Arms (3)
Patients
Participating patients who undergo colonoscopy
Endoscopists CADe
Physicians performing CADe colonoscopy
Endoscopists CC
Physicians performing conventional colonoscopy
Interventions
endoscopists wear eye-tracking glasses during real-time colonoscopy
Eligibility Criteria
Adults who are referred for regular care colonoscopy
You may qualify if:
- Referred for diagnostic, screening or surveillance colonoscopy
You may not qualify if:
- Therapeutic procedure
- Boston Bowel Prep Score (BBPS) score of \<6
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Radboud University Medical Centerlead
- Utrecht Universitycollaborator
- Lund Universitycollaborator
Study Sites (1)
Radboud university medical center Nijmegen
Nijmegen, Gelderland, 6500 HB, Netherlands
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
November 9, 2022
First Posted
November 17, 2022
Study Start
June 1, 2024
Primary Completion
November 1, 2024
Study Completion
November 30, 2024
Last Updated
August 15, 2025
Record last verified: 2025-04
Data Sharing
- IPD Sharing
- Will not share