Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: May 18, 2025
Date Accepted: Jun 26, 2026
Application of AI image recognition-based smartphone application in personalized bowel preparation: a prospective randomized controlled trial
ABSTRACT
Background:
Sufficient bowel preparation is critical for increasing the quality of colonoscopy.
Objective:
This research intended to investigate the impact of AI-guided bowel cleansing on personalized bowel preparation and laxative use.
Methods:
We conducted a prospective randomized controlled trial. Included individuals were randomly categorized into two groups: the AI-guided group, which used an AI program to assess the adequacy of bowel cleansing and stopped using laxatives once the assessment was passed, and the control group, which evaluated bowel preparation adequacy based on standard practices. The primary outcomes were the amount of laxatives used and the rate of adequate bowel cleansing.
Results:
The study included 513 patients (AI-guided group, n=255; control group, n=258). The volume of bowel-cleansing solution consumed by patients in the AI-guided group was 1247.8 ± 379.1 ml, significantly lower than the 1600.0 ml in the control group (P < 0.001). The rate of adequate bowel preparation in the AI group was not inferior to that in the control group (93.3% vs. 88.8%, respectively; p-value for the non-inferiority < 0.001).
Conclusions:
Using the AI-driven bowel preparation program to assist patients in personalized bowel preparation can reduce unnecessary use of laxatives while achieving results comparable to standard practices. Clinical Trial: The research was registered with ClinicalTrials.gov (NCT06610630).
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