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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.
Sponsor: Chinese University of Hong Kong
Summary
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.
Key Details
Gender
All
Age Range
65 Years - Any
Study Type
INTERVENTIONAL
Enrollment
1824
Start Date
2026-06-01
Completion Date
2028-06-30
Last Updated
2025-04-01
Healthy Volunteers
Yes
Conditions
Interventions
AI
Each photo will be uploaded and analyzed by AI to predict the adequacy of their bowel preparation with immediate results of "pass" or "not pass," indicating if their bowel preparation is adequate or inadequate. If the result is "pass," patients will stop consuming the remaining PEG solution. If the result is "not pass," patients will be advised to gently rub their lower abdomen in a clockwise direction or walk around and continue consuming the remaining PEG until the AI evaluation gives a "pass" result or until the full dose of 3 L PEG have been consumed. If the patient's rectal effluent deems IBP after consumption of the full dose of 3 L of PEG, an additional 1 L or more of PEG will be administered as a remedial dose at the discretion of the physician-in-charge.
Locations (1)
Centre of Digestive Health
Hong Kong, Hong Kong