About this trial
This study will employ a prospective, multicenter, controlled design. It will be conducted across multiple centers, with participated centers randomly assigned to one of four groups: Group A, Group B, Group C, and Group D.
The research will primarily focus on the AI-based analysis of colonoscopic images to calculate the following metrics: caecal intubation time, red-out percentage, and the AI-based red-out avoiding score. Based on the study's implementation protocol, a decision will be made regarding whether to provide real-time feedback. Additionally, the presence of any complications will be assessed both during and after the colonoscopy procedure.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
None
Disqualifiers
None
Trial design
Parallel
Treatments tested in this trial
AI system
Other interventionAI-system Performance Feedback in group B, group C, and group D.
Treatment groups
Trial outcomes
Primary outcomes
Red-out percentage
The impact of real-time feedback on red-out percentage.
Caecal intubation time
The impact of real-time feedback on caecal intubation time.
AI-based red-out avoiding score
The impact of real-time feedback on AI-based red-out avoiding score.
Secondary outcomes
Complications
During and after the colonoscopy, assess for any signs of complications
Locations
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
This trial is not recruiting at the moment. You can still explore other options: