NCT05619614Completed
The Influence of Artificial Intelligence (AI )Assisted Polyp Detection (Discovery System) on Visual Gaze Patterns During Real-time Colonoscopy
The Influence of Artificial Intelligence (AI) Assisted Polyp Detection (Discovery System) on Visual Gaze Patterns During Real-time Colonoscopy
Source: ClinicalTrials.gov · Last updated 15 Aug 2025
Brief summary (registry, in English)
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.
- Status (registry)
- Completed
- Study type
- Observational
- Enrollment
- 52 (actual)
- First submitted
- 9 Nov 2022
- Start date
- 1 Jun 2024
- Primary completion date
- 1 Nov 2024
- Lead sponsor
- Radboud University Medical Center
- Diseases
- Colorectal cancer, Childhood cancers
- NCT number
- NCT05619614
What you commit to
- Study type: Observational
- Participants enrolled: 52
- From 1 Jun 2024 to the primary completion date, 1 Nov 2024
- 1 site in 1 country
- Visits and tests: ask the trial team, the registry does not list them
Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.
Who cannot take part
Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.
Other
- Therapeutic procedure
- Boston Bowel Prep Score (BBPS) score of \<6
Who the study is looking for
- Referred for diagnostic, screening or surveillance colonoscopy
Sex: All · Does not accept healthy volunteers
Sites (1)
Sites in registry order. Pick your city on the disease page to sort them by distance.
| Site | City | Country | Site status |
|---|---|---|---|
| Radboud university medical center Nijmegen Coordinator of this site? Confirm its status | Nijmegen | Netherlands | Unknown status |
This page is information, not medical advice. Discuss any trial with your doctor.