Exploring the Clinical Value of an AI-Assisted Patient Self-Assessment App for Bowel Preparation: A Multicenter Study

The quality of bowel preparation hinges on how well patients follow the prep-drug regimen, so intensive education is essential. Phone calls, texts, short videos, and mini-programs have all been shown to boost compliance and improve prep quality. Still, we also need a way to spot-early-those patients who are likely to prep poorly so we can step in with a rescue plan. In our pilot work the investigators built an AI-assisted mini-program that lets patients photograph their effluent and get an instant quality read-out. The single-center RCT showed excellent performance. Because these findings came from one center, the investigators are now launching a multicenter study to test the tool more broadly. Patients will use the AI mini-program at home; if the algorithm predicts inadequate prep it will prompt them to come in early or alert staff so the investigators can initiate a rescue protocol and, ultimately, improve bowel-cleansing quality.

NCT Number	NCT07337694
Lead Sponsor	Sixth Affiliated Hospital, Sun Yat-sen University Collaborators: Tianjin Haihe Hospital, Guangdong Second Provincial General Hospital, Dongguan Hospital of Traditional Chinese Medicine, Cangzhou Central Hospital
Conditions	Bowel Preparation for Colonoscopy, Colonoscopy
Enrollment	524 participants
Start Date	2026-01-01
Primary Completion	2027-12-31 (estimated)
Study Completion	2027-12-31 (estimated)
Updated on ClinicalTrials.gov	2026-01-21