Related Experiment Video
Updated: Jul 16, 2026
06:28
E-Patient Counseling Trial (E-PACO): Computer Based Education versus Nurse Counseling for Patients to Prepare for Colonoscopy
Published on: August 1, 2019
Use of an AI Image Recognition-Based Smartphone App in Personalized Bowel Preparation Before Colonoscopy: Prospective
Fei Han1, Shilin Gao1, Hanqiang Zhan1
1The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
JMIR Mhealth and Uhealth
|July 14, 2026
Summary
AI-guided bowel preparation significantly reduces laxative use and improves medication adherence compared to standard methods. This approach achieves comparable bowel cleansing quality while enhancing patient safety and compliance.
Area of Science:
- Gastroenterology
- Medical Artificial Intelligence
- Clinical Trial Methodology
Background:
- Effective bowel preparation is crucial for colonoscopy quality, but current guidelines have limitations.
- A novel convolutional neural network (CNN) model was developed to personalize laxative guidance.
- This AI tool assists patients in assessing bowel preparation adequacy and optimizing laxative use.
Purpose of the Study:
- To evaluate the impact of an AI-guided bowel preparation program on laxative consumption.
- To assess the influence of AI guidance on the quality of bowel cleansing.
- To compare patient outcomes between AI-guided and standard bowel preparation protocols.
Main Methods:
- A prospective randomized controlled trial involving 513 patients undergoing colonoscopy.
- Patients were assigned to either an AI-guided group or a control group using standard preparation.
- Primary outcomes included laxative volume and adequate bowel cleansing rate (Boston Bowel Preparation Scale - BBPS).
Main Results:
- The AI-guided group used significantly less bowel-cleansing solution (1245.5 mL vs 1586.2 mL).
- Adequate bowel preparation rates were non-inferior (93.3% vs 88.8%).
- AI guidance led to higher medication adherence (96.9% vs 91.5%) and fewer adverse reactions (2% vs 5.8%).
Conclusions:
- AI-driven personalized bowel preparation effectively reduces laxative usage.
- The AI approach achieves bowel cleansing quality comparable to standard methods.
- This technology offers a safer and more compliant alternative for patients undergoing colonoscopy.
