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Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: May 18, 2025
Date Accepted: Jun 26, 2026

The final, peer-reviewed published version of this preprint can be found here:

Use of an AI Image Recognition–Based Smartphone App in Personalized Bowel Preparation Before Colonoscopy: Prospective Randomized Controlled Trial

Han F, Gao S, Zhan H, Wang N, Song Z, Xie J, Hou Y, Deng Y, Yao J

Use of an AI Image Recognition–Based Smartphone App in Personalized Bowel Preparation Before Colonoscopy: Prospective Randomized Controlled Trial

JMIR Mhealth Uhealth 2026;14:e77701

DOI: 10.2196/77701

PMID: 42447478

Application of AI image recognition-based smartphone application in personalized bowel preparation: a prospective randomized controlled trial

  • Fei Han; 
  • Shilin Gao; 
  • Hanqiang Zhan; 
  • Nan Wang; 
  • Zhaoxiang Song; 
  • Jinlin Xie; 
  • Yuhan Hou; 
  • Yimeng Deng; 
  • Jianning Yao

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).


 Citation

Please cite as:

Han F, Gao S, Zhan H, Wang N, Song Z, Xie J, Hou Y, Deng Y, Yao J

Use of an AI Image Recognition–Based Smartphone App in Personalized Bowel Preparation Before Colonoscopy: Prospective Randomized Controlled Trial

JMIR Mhealth Uhealth 2026;14:e77701

DOI: 10.2196/77701

PMID: 42447478

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