Using AI to help trainees detect colon polyps during colonoscopy
Impact of Computer Aided Detection on Trainee Polyp Miss Rates Using a Tandem Colonoscopy Design
NA · Northwestern University · NCT06676930
This study tests if using artificial intelligence can help gastroenterology trainees find colon polyps better during colonoscopy procedures.
Quick facts
| Phase | NA |
|---|---|
| Study type | Interventional |
| Enrollment | 180 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Northwestern University (other) |
| Locations | 1 site (Chicago, Illinois) |
| Trial ID | NCT06676930 on ClinicalTrials.gov |
What this trial studies
This study investigates the impact of artificial intelligence (AI) on the ability of gastroenterology trainees to detect colon polyps during tandem colonoscopy procedures. Trainees will perform colonoscopies with and without the assistance of a computer-aided detection (CADe) system, which has previously shown promise in reducing polyp miss rates among experienced gastroenterologists. The study aims to determine if AI can similarly enhance the performance of trainees and will also explore their perceptions of AI's role in their training. By comparing the adenoma and sessile serrated polyp miss rates, the study seeks to improve colonoscopy outcomes and training methods.
Who should consider this trial
Good fit: Ideal candidates for this study are adult patients referred for screening or surveillance colonoscopy.
Not a fit: Patients referred for polypectomy or diagnostic colonoscopy, or those with prior right colon surgery, may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to improved detection rates of pre-cancerous polyps among gastroenterology trainees, potentially reducing the incidence of colorectal cancer.
How similar studies have performed: Previous studies have shown success in using AI to reduce polyp miss rates among experienced endoscopists, but this approach with trainees is novel.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Adult patients referred for screening or surveillance colonoscopy Exclusion Criteria: * Patients referred for polypectomy or diagnostic colonoscopy * Patients with prior right colon surgery * Prolonged insertion time (\>20 minutes) * Poor bowel preparation (Boston Bowel Preparation Score less than or equal to 6)
Where this trial is running
Chicago, Illinois
- Northwestern Memorial Hospital — Chicago, Illinois, United States (RECRUITING)
Study contacts
- Principal investigator: Rajesh Keswani, MD — Northwestern Medicine
- Study coordinator: Rajesh Keswani, MD
- Email: raj-keswani@northwestern.edu
- Phone: 312-695-5620
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Colon Polyps, Colonoscopy, Artificial Intelligence, tandem colonoscopy, randomized controlled trial, adenoma miss rate