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NCT05619614 Clinical Trial

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

Colonic Neoplasms Clinical Trial

— REVEAL  

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

Clinical Trial Details — Status: Recruiting

Administrative data
NCT number NCT05619614
Other study ID # 2022-13870
Secondary ID
Status Recruiting
Phase
First received
Last updated
Start date November 1, 2022
Est. completion date June 30, 2023

Study information
Verified date March 2023
Source Radboud University Medical Center
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial 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.

Recruitment information / eligibility
Status Recruiting
Enrollment 50
Est. completion date June 30, 2023
Est. primary completion date May 31, 2023
Accepts healthy volunteers No
Gender All
Age group N/A and older
Eligibility 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 Design

Related Conditions & MeSH terms

Intervention

Device:
• eye-tracking glasses
endoscopists wear eye-tracking glasses during real-time colonoscopy

Locations
Country Name City State
Netherlands Radboud university medical center Nijmegen Nijmegen Gelderland

Sponsors (3)
Lead Sponsor Collaborator
Radboud University Medical Center Lund University, Utrecht University

Country where clinical trial is conducted

Netherlands, 

Outcome
Type Measure Description Time frame Safety issue
Primary Mean gaze time per area of influence End of colonoscopy
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