AI_Colonoscopy_for_Fellows
Running, not enrolling · Not applicable
Conditions studied: AI-assisted Colonoscopy
In brief
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.
Key facts
- Study ID
- NCT07661914
- Run by
- University of Oklahoma
- People needed
- 8
- Starts
- 2026-04-01
- Expected to finish
- 2027-07-30
- Last updated by the study team
- 2026-06-22
Who can join
Age: any. Sex: any. Healthy volunteers: accepted.
You may qualify if…
- All adult gastroenterology fellows at the University of Oklahoma, except for the fellow conducting research will be included in the study.
You may not qualify if…
- All patients undergoing colonoscopy for genetic cancer syndromes (ex: polyposis), inflammatory bowel disease, for therapy of known neoplasms or undergoing non-colonoscopy screening tests (fecal immunochemical test, CT colonography) will be excluded from this study.
Where it is running
- Oklahoma City VA Health Care System — Oklahoma City, Oklahoma, United States
Full record on ClinicalTrials.gov
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