AI_Colonoscopy_for_Fellows
Efficacy of Artificial Intelligence Assisted Colonoscopy in Improving Adenoma Detection Rates for Gastroenterology Fellows
1 other identifier
interventional
8
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Apr 2026
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
April 1, 2026
CompletedFirst Submitted
Initial submission to the registry
June 9, 2026
CompletedFirst Posted
Study publicly available on registry
June 22, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 30, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
July 30, 2027
June 22, 2026
June 1, 2026
12 months
June 9, 2026
June 16, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Adenoma detection rate
We hypothesize that an AI assisted colonoscopy done by a gastroenterology fellow will have a higher ADR as compared to conventional colonoscopy done by the same fellow and these results will be more significant among junior fellows compared to senior fellows.
over 18 months
Secondary Outcomes (2)
Sessile serrated lesion detection rate
Over 18 months
Withdrawal time
Over 18 months
Study Arms (2)
AI assisted colonoscopy
EXPERIMENTALGI fellows in this arm will complete colonoscopies with the assistance of AI device GI Genius.
Conventional colonoscopy
ACTIVE COMPARATORGI fellows in this arm will complete colonoscopy in a conventional manner
Interventions
The gastroenterology fellows assigned to AI assisted colonoscopy will use the GI genius device while performing colonoscopies.
The gastroenterology fellows assigned to conventional colonoscopy will be performing colonoscopies without the use of AI device.
Eligibility Criteria
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.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Oklahomalead
- Oklahoma City VA Medical Centercollaborator
Study Sites (1)
Oklahoma City VA Health Care System
Oklahoma City, Oklahoma, 73104, United States
Study Officials
- PRINCIPAL INVESTIGATOR
Mohammad Madhoun
University of Oklahoma
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- PREVENTION
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 9, 2026
First Posted
June 22, 2026
Study Start
April 1, 2026
Primary Completion (Estimated)
March 30, 2027
Study Completion (Estimated)
July 30, 2027
Last Updated
June 22, 2026
Record last verified: 2026-06