The Influence of Artificial Intelligence (AI )Assisted Polyp Detection (Discovery System) on Visual Gaze Patterns During Real-time Colonoscopy
Recruiting
- Conditions
- Colonic Neoplasms
- Interventions
- Device: eye-tracking glasses
- 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
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 50
Inclusion Criteria
Not provided
Exclusion Criteria
Not provided
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Endoscopists CADe eye-tracking glasses Physicians performing CADe colonoscopy Endoscopists CC eye-tracking glasses Physicians performing conventional colonoscopy
- Primary Outcome Measures
Name Time Method Mean gaze time per area of influence End of colonoscopy
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Radboud university medical center Nijmegen
🇳🇱Nijmegen, Gelderland, Netherlands