Actively Recruiting
Impact of Artificial Intelligence on Trainee Polyp Miss Rates
Led by Northwestern University · Updated on 2024-11-06
180
Participants Needed
1
Research Sites
103 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
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.
CONDITIONS
Official Title
Impact of Artificial Intelligence on Trainee Polyp Miss Rates
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Adult patients referred for screening or surveillance colonoscopy
You will not qualify if you...
- Patients referred for polypectomy or diagnostic colonoscopy
- Patients with prior right colon surgery
- Prolonged insertion time (greater than 20 minutes)
- Poor bowel preparation (Boston Bowel Preparation Score less than or equal to 6)
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Northwestern Memorial Hospital
Chicago, Illinois, United States, 60611
Actively Recruiting
Research Team
R
Rajesh Keswani, MD
CONTACT
Z
Zack Jacob
CONTACT
How is the study designed?
Study Type
INTERVENTIONAL
Masking
NONE
Allocation
RANDOMIZED
Model
PARALLEL
Primary Purpose
PREVENTION
Number of Arms
2
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