NCT07273890

Real-time Feedback of Red-out Within Colonoscopy Intubation

Prospective, Multicenter, Controlled Study on the Impact of Real-time Feedback on Red-out

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 576 (estimated)
• Sponsor: The First Affiliated Hospital of Anhui Medical University · Academic / Other
• Sex: All
• Age: 18 Years – 70 Years
• Healthy volunteers: Not accepted

Summary

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.

Conditions

• Artificial Intelligence
• Colonoscopy
• Real-time Feedback

Interventions

Type	Name	Description
OTHER	AI system	AI-system Performance Feedback in group B, group C, and group D.

Timeline

• Start date: 2025-12-10
• Primary completion: 2027-08-31
• Completion: 2028-04-20
• First posted: 2025-12-10
• Last updated: 2025-12-10