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Trial Title:
The Influence of Artificial Intelligence (AI )Assisted Polyp Detection (Discovery System) on Visual Gaze Patterns During Real-time Colonoscopy
NCT ID:
NCT05619614
Condition:
Colonic Neoplasms
Conditions: Official terms:
Colonic Neoplasms
Study type:
Observational
Overall status:
Recruiting
Study design:
Time perspective:
Prospective
Intervention:
Intervention type:
Device
Intervention name:
eye-tracking glasses
Description:
endoscopists wear eye-tracking glasses during real-time colonoscopy
Arm group label:
Endoscopists CADe
Arm group label:
Endoscopists CC
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.
Criteria for eligibility:
Study pop:
Adults who are referred for regular care colonoscopy
Sampling method:
Probability Sample
Criteria:
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
Gender:
All
Minimum age:
N/A
Maximum age:
N/A
Healthy volunteers:
No
Locations:
Facility:
Name:
Radboud university medical center Nijmegen
Address:
City:
Nijmegen
Zip:
6500 HB
Country:
Netherlands
Status:
Recruiting
Contact:
Last name:
Michiel HJ Maas, MSc
Phone:
629647175
Phone ext:
+31
Email:
Michiel.maas@Radboudumc.nl
Investigator:
Last name:
Peter D. Siersema, prof.
Email:
Principal Investigator
Start date:
June 1, 2024
Completion date:
October 31, 2024
Lead sponsor:
Agency:
Radboud University Medical Center
Agency class:
Other
Collaborator:
Agency:
Utrecht University
Agency class:
Other
Collaborator:
Agency:
Lund University
Agency class:
Other
Source:
Radboud University Medical Center
Record processing date:
ClinicalTrials.gov processed this data on November 12, 2024
Source: ClinicalTrials.gov page:
https://clinicaltrials.gov/ct2/show/NCT05619614
