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

Completed

• Conditions: Colonic Neoplasms

• Registration Number: NCT05619614
• Lead Sponsor: Radboud University Medical Center

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.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2022-11-09
• Study First Submitted QC: 2022-11-16
• Study First Posted: 2022-11-17
• Study Start: 2024-06-01
• Primary Completion: 2024-11-01
• Study Completion: 2024-11-30
• Status Verified: 2025-04
• Last Update Submitted: 2025-08-12
• Last Update Posted: 2025-08-15

Recruitment & Eligibility

• Status: COMPLETED
• Sex: All
• Target Recruitment: 52

Inclusion Criteria

Not provided

Exclusion Criteria

Not provided

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Mean gaze time per area of influence	End of colonoscopy

Trial Locations

Locations (1)

Radboud university medical center Nijmegen; 🇳🇱 Nijmegen, Gelderland, Netherlands