Impact of Artificial Intelligence on Trainee Polyp Miss Rates
Recruiting now · Not applicable
Conditions studied: Colon Polyps, Colonoscopy, Artificial Intelligence (AI)
In brief
Based on prior studies, trainee and practicing gastroenterologists miss pre-cancerous polyps (adenomas and serrated polyps) during colonoscopy. The use of computer-aided detection (CADe) systems, a form of artificial intelligence (AI) has been shown to help identify colorectal lesions for practicing gastroenterologists. However, less is known how AI impacts polyp detection for trainees. The investigators are conducting a tandem colonoscopy study wherein a portion of the colon is examined first by the trainee and then the attending physician. For each procedure, randomization will occur which will determine whether or not the trainee will utilize AI for their examination of the colon. At the end of the study, the investigators will determine whether AI helps trainees miss fewer polyps during colonoscopy. The investigators will also conduct interviews with trainees to understand how AI impacts colonoscopy training.
Key facts
- Study ID
- NCT06676930
- Run by
- Northwestern University
- People needed
- 180
- Starts
- 2024-09-10
- Expected to finish
- 2026-09-01
- Last updated by the study team
- 2024-11-06
Who can join
Age: 18 and older. Sex: any. Healthy volunteers: not accepted.
You may qualify if…
- Adult patients referred for screening or surveillance colonoscopy
You may not qualify if…
- 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 it is running
- Northwestern Memorial Hospital — Chicago, Illinois, United States (enrolling)
Full record on ClinicalTrials.gov
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