Skip to main content
OpenTrials
Recruiting

NCT Number: NCT07812155

Multimodal AI-Assisted Bowel Preparation for Colonoscopy

This randomized controlled trial aims to evaluate the effectiveness of a multimodal artificial intelligence (AI)-assisted smartphone application in improving bowel preparation outcomes among hospitalized adults undergoing colonoscopy. A total of 140 participants will be randomly assigned in a 1:1 ratio to either an experimental group or a control group. The control group will receive conventional written and verbal nursing education, while the experimental group will receive the same standard education plus a multimodal AI-assisted application delivered through the LINE platform. The application provides structured bowel preparation education, interactive AI-based question-and-answer support, dietary image recognition, stool image analysis, and individualized feedback. Study outcomes will include bowel preparation knowledge, satisfaction with nursing education, and bowel cleansing quality assessed using the Aronchick Scale.

Recruiting

Interested in participating?

Request Info

Key information

Age range

20 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Chiayi Christian Hospital

Chiayi City, Taiwan, 60002

Location status: Recruiting

Location contact

Chieh-Wen Liao, MSN, RN

CONTACT

[email protected]

+886-5-2765041 ext. 3696

About this study

Adequate bowel preparation is essential for high-quality colonoscopy because insufficient bowel cleansing may reduce mucosal visualization and affect the detection of colorectal lesions. Conventional bowel preparation education generally relies on written materials and verbal instructions. However, patients may have difficulty understanding dietary restrictions, bowel cleansing medication instructions, and whether bowel cleansing is adequate during the preparation process.

This study evaluates a multimodal AI-assisted smartphone application designed to support patients throughout the bowel preparation process. The application is integrated with the LINE platform and provides structured educational content, including bowel preparation instructions, bowel cleansing medication guidance, dietary preparation, instructional videos, and an interactive AI chatbot for real-time individualized responses.

The application also incorporates two AI-assisted image-recognition functions. First, participants may submit photographs of their meals before colonoscopy. A multimodal AI model analyzes the food images and classifies the dietary pattern as a clear liquid diet, low-residue diet, or regular diet, and provides individualized dietary recommendations. Second, after taking bowel cleansing medication, participants may submit stool images. The system uses a multimodal AI model in combination with a convolutional neural network model to assess bowel cleansing status and provide feedback.

Participants in the control group will receive conventional written and verbal nursing education regarding diet, bowel cleansing medication, and colonoscopy preparation. Participants in the experimental group will receive the same conventional education plus access to the multimodal AI-assisted application. Bowel preparation knowledge will be assessed before and after the intervention, satisfaction with nursing education will be evaluated after colonoscopy, and bowel cleansing quality will be assessed by the endoscopist using the Aronchick Scale.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Hospitalized adults scheduled to undergo colonoscopy.
  • Age 20 years or older.
  • Able to read.
  • Conscious and able to communicate in Mandarin or Taiwanese.
  • Own a smartphone and have basic ability to use the LINE application.

Exclusion criteria

  • Patients receiving hemodialysis or peritoneal dialysis.
  • Patients unable to take bowel cleansing medication orally.
  • Patients unable to consume a large volume of fluids.
  • Patients with intestinal stenosis, bowel obstruction, or obstructing intestinal tumors.
  • Patients with severe active gastrointestinal bleeding (>1500 mL/day).

Treatment and study plan

Multimodal AI-Assisted Bowel Preparation Education

Behavioral

Participants in the experimental group receive conventional bowel preparation education plus a multimodal AI-assisted application delivered through the LINE platform. The application provides structured education on bowel preparation, dietary restrictions, bowel cleansing medication, and examination procedures; interactive AI-based question-and-answer support; dietary image recognition; stool image analysis; and individualized feedback throughout the bowel preparation process. Food images are analyzed to classify dietary patterns as clear liquid, low-residue, or regular diet, while stool images are analyzed using multimodal AI and a convolutional neural network model to assess bowel cleansing status and provide feedback.

Other names: AI-Assisted Bowel Preparation Application

Primary outcomes

  1. Bowel Cleansing Quality Assessed Using the Aronchick Scale

    Time frame: During colonoscopy, approximately 2-3 days after enrollment

    Bowel cleansing quality will be assessed by the endoscopist using the Aronchick Scale, which classifies bowel preparation as Excellent, Good, Fair, Poor, or Inadequate. Excellent and Good ratings will be considered adequate bowel preparation.

Sponsors and collaborators

Lead sponsor

Chiayi Christian Hospital

Other

Registry information

Official study title

Exploring the Effectiveness of a Multimodal Artificial Intelligence Application on Bowel Preparation Outcomes for Colonoscopy

Acronym: MMAI-BP

Important dates

Study start
2026
Primary completion
2027
Study completion
2027
First posted
Sep 10, 2026
Registry last updated
Sep 14, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.