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Artificial Intelligence

Real-Time Feedback AI for Colonoscopy Quality Improvement

N/A
Recruiting
Led By Piet de Groen, MD
Research Sponsored by University of Minnesota
Eligibility Criteria Checklist
Specific guidelines that determine who can or cannot participate in a clinical trial
Must have
- Any endoscopist willing to parcipate and performing routine colonscopy
Be older than 18 years old
Timeline
Screening 3 weeks
Treatment Varies
Follow Up 5 months post procedure
Awards & highlights

Study Summary

This trial will test whether giving doctors feedback during an endoscopic examination will help improve the quality of the exam.

Who is the study for?
This trial is for any endoscopist who is willing to participate and performs routine colonoscopy procedures. Specific details on exclusion criteria are not provided, but typically these would include factors that could interfere with the study or the safety of participants.Check my eligibility
What is being tested?
The trial is testing an AI program designed to provide real-time feedback during colonoscopies. The goal is to see if this technology can improve the quality of endoscopic examinations potentially leading to better outcomes in colorectal cancer screening.See study design
What are the potential side effects?
Since this trial involves a non-invasive AI tool rather than a drug or medical procedure, traditional side effects are not expected. However, there may be indirect effects related to changes in how endoscopists perform colonoscopies.

Eligibility Criteria

Inclusion Criteria

You may be eligible if you check “Yes” for the criteria below

Timeline

Screening ~ 3 weeks
Treatment ~ Varies
Follow Up ~5 months post procedure
This trial's timeline: 3 weeks for screening, Varies for treatment, and 5 months post procedure for reporting.

Treatment Details

Study Objectives

Outcome measures can provide a clearer picture of what you can expect from a treatment.
Primary outcome measures
Adenoma Detection Rate

Trial Design

2Treatment groups
Experimental Treatment
Group I: Testing of degree of mucosal inspectionExperimental Treatment1 Intervention
AI provides real-time feedback related to circumferential views during endoscope removal
Group II: Testing of clearing of fecal debrisExperimental Treatment1 Intervention
AI provides real-time feedback related to removal of remaining fecal debris

Find a Location

Who is running the clinical trial?

University of MinnesotaLead Sponsor
1,388 Previous Clinical Trials
1,548,677 Total Patients Enrolled
University of WashingtonOTHER
1,749 Previous Clinical Trials
1,834,494 Total Patients Enrolled
Johns Hopkins UniversityOTHER
2,274 Previous Clinical Trials
14,836,367 Total Patients Enrolled
~389 spots leftby Sep 2024