Can Artificial Intelligence Reduce Consumption of Standard High Volume Bowel Preparation Regimen Among Older Population, Without Compromising the Quality of Colonoscopy? An International Multi-centre Randomized Controlled Trial.

The goal of this study is to assess the clinical and cost-effectiveness of the AI bowel preparation evaluation system in reducing the consumption volume of the standard high-volume PEG regimen before colonoscopy among the older population. Researchers will compare bowel preparation adequacy and other colonoscopy quality matrices, and patient satisfaction between patients using the AI system and those using Standard Practice.

NCT Number	NCT06904209
Lead Sponsor	Chinese University of Hong Kong
Conditions	Bowel Preparation Quality
Enrollment	1,824 participants
Start Date	2026-06-01
Primary Completion	2028-01-31 (estimated)
Study Completion	2028-06-30 (estimated)
Updated on ClinicalTrials.gov	2025-04-01