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Real-time Feedback of Red-out Within Colonoscopy Intubation

NCT07273890 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 576

Last updated 2025-12-10

No results posted yet for this study

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

OTHER

AI system

AI-system Performance Feedback in group B, group C, and group D.

Sponsors & Collaborators

  • The First Affiliated Hospital of Anhui Medical University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
70 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-12-10
Primary Completion
2027-08-31
Completion
2028-04-20

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07273890 on ClinicalTrials.gov