AI_Colonoscopy_for_Fellows
NCT07661914 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 8
Last updated 2026-06-22
Summary
The goal of this study is to look at how good artificial intelligence (AI) assisted colonoscopy is compared to conventional colonoscopy in detecting polyps when used by gastroenterology fellows. The main question the study aims to answer are:
Does AI assisted colonoscopy improve adenoma detection rate for gastroenterology fellows in different levels of training? Does AI assisted colonoscopy improve other quality indicators such as sessile serrated lesion detection rate withdrawal time? This research will compare these quality measures for gastroenterology fellows in their first, second, and third year of training. The gastroenterology fellows performing colonoscopies will be randomized to either AI assisted colonoscopy or conventional colonoscopy for each case. The nurse in the room will then turn on the AI device if needed and the rest of the colonoscopy will be completed as normal. The procedure notes will indicated whether AI device was used or not during the procedure.
Conditions
- AI-assisted Colonoscopy
Interventions
- DEVICE
-
AI assisted colonoscopy
The gastroenterology fellows assigned to AI assisted colonoscopy will use the GI genius device while performing colonoscopies.
- OTHER
-
Conventional Colonoscopy
The gastroenterology fellows assigned to conventional colonoscopy will be performing colonoscopies without the use of AI device.
Sponsors & Collaborators
-
Oklahoma City VA Medical Center
collaborator FED -
University of Oklahoma
lead OTHER
Principal Investigators
-
Mohammad Madhoun · University of Oklahoma
Study Design
- Allocation
- RANDOMIZED
- Purpose
- PREVENTION
- Masking
- NONE
- Model
- SINGLE_GROUP
Eligibility
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2026-04-01
- Primary Completion
- 2027-03-30
- Completion
- 2027-07-30
- FDA Device
- Yes
Countries
- United States
Study Locations
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