Multimodal AI-Assisted Bowel Preparation for Colonoscopy

NCT07812155 | Recruiting

• 1 other identifier: IRB2026016
• Study Type: interventional
• Target: 140
• Locations: 1 country
• Sites: 1

Brief Summary

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.

Conditions

Bowel Preparation; Colonoscopy

Keywords

Artificial Intelligence; Bowel Preparation; Colonoscopy; Smartphone Application; Image Recognition; Patient Education

Outcome Measures

Primary Outcomes (1)

• Bowel Cleansing Quality Assessed Using the Aronchick Scale

  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.

  During colonoscopy, approximately 2-3 days after enrollment

Study Arms (2)

Multimodal AI-Assisted Education Group

EXPERIMENTAL

Participants receive conventional written and verbal nursing education plus a multimodal AI-assisted smartphone 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 during the bowel preparation process.

Behavioral: Multimodal AI-Assisted Bowel Preparation Education

Conventional Nursing Education Group

ACTIVE COMPARATOR

Participants receive conventional bowel preparation education provided by nursing staff using written educational materials and verbal instructions regarding dietary restrictions, bowel cleansing medication, and colonoscopy preparation.

Behavioral: Multimodal AI-Assisted Bowel Preparation Education

Interventions

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.

Also known as: AI-Assisted Bowel Preparation Application

Conventional Nursing Education Group; Multimodal AI-Assisted Education Group

Eligibility Criteria

• Age: 20 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• 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.

You may not qualify if:

• 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).

Sponsors & Collaborators

• Chiayi Christian Hospital: lead

Study Sites (1)

Chiayi Christian Hospital

Chiayi City, Taiwan, 60002, Taiwan

RECRUITING

Related Publications (5)

• Beran A, Aboursheid T, Ali AH, Albunni H, Mohamed MF, Vargas A, Hadaki N, Alsakarneh S, Rex DK, Guardiola JJ. Risk Factors for Inadequate Bowel Preparation in Colonoscopy: A Comprehensive Systematic Review and Meta-Analysis. Am J Gastroenterol. 2024 Dec 1;119(12):2389-2397. doi: 10.14309/ajg.0000000000003073. Epub 2024 Sep 3.

  PMID: 39225554 RESULT

• Hassan C, East J, Radaelli F, Spada C, Benamouzig R, Bisschops R, Bretthauer M, Dekker E, Dinis-Ribeiro M, Ferlitsch M, Fuccio L, Awadie H, Gralnek I, Jover R, Kaminski MF, Pellise M, Triantafyllou K, Vanella G, Mangas-Sanjuan C, Frazzoni L, Van Hooft JE, Dumonceau JM. Bowel preparation for colonoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Guideline - Update 2019. Endoscopy. 2019 Aug;51(8):775-794. doi: 10.1055/a-0959-0505. Epub 2019 Jul 11.

  PMID: 31295746 RESULT

• Gimeno-Garcia AZ, Benitez-Zafra F, Nicolas-Perez D, Hernandez-Guerra M. Colon Bowel Preparation in the Era of Artificial Intelligence: Is There Potential for Enhancing Colon Bowel Cleansing? Medicina (Kaunas). 2023 Oct 15;59(10):1834. doi: 10.3390/medicina59101834.

  PMID: 37893552 RESULT

• Desai M, Nutalapati V, Bansal A, Buckles D, Bonino J, Olyaee M, Rastogi A. Use of smartphone applications to improve quality of bowel preparation for colonoscopy: a systematic review and meta-analysis. Endosc Int Open. 2019 Feb;7(2):E216-E224. doi: 10.1055/a-0796-6423. Epub 2019 Jan 18.

  PMID: 30705956 RESULT

• Chen HY, Tu MH, Chen MY. Effectiveness of a Mobile Health Application for Educating Outpatients about Bowel Preparation. Healthcare (Basel). 2024 Jul 10;12(14):1374. doi: 10.3390/healthcare12141374.

  PMID: 39057517 RESULT

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: OUTCOMES ASSESSOR
• Masking Details: The endoscopist who assesses bowel cleansing quality is blinded to group allocation. Questionnaire data are collected by research personnel who are unaware of the participants' group assignments. Participants and personnel delivering the intervention cannot be blinded because of the nature of the AI-assisted application.
• Purpose: SUPPORTIVE CARE
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Model Details: Participants are randomly assigned in a 1:1 ratio to either an experimental group receiving conventional nursing education plus a multimodal AI-assisted application or a control group receiving conventional nursing education alone. The two groups are studied concurrently without crossover.

Study Record Dates

• First Submitted: September 4, 2026
• First Posted: September 10, 2026
• Study Start: March 10, 2026
• Primary Completion (Estimated): January 31, 2027
• Study Completion (Estimated): January 31, 2027
• Last Updated: September 14, 2026

Record last verified: 2026-09

Data Sharing

• IPD Sharing: Will not share

Locations

TW (1)