Clinical Research Directory

AI_Colonoscopy_for_Fellows

Sponsor: University of Oklahoma

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.

Official title: Efficacy of Artificial Intelligence Assisted Colonoscopy in Improving Adenoma Detection Rates for Gastroenterology Fellows

Key Details

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Locations (1)