Bowel PreparationMMAI-BPNCT07812155
Multimodal AI-Assisted Bowel Preparation for Colonoscopy
A study testing Multimodal AI-Assisted Bowel Preparation Education in people with Bowel Preparation and Colonoscopy, run by Chiayi Christian Hospital at 1 site in Taiwan.
Trial 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. Read more about this study
- Who is it for?
- Ages 20 years and older
- Conditions the study is for
- Bowel Preparation, Colonoscopy
- What is being tested?
- Multimodal AI-Assisted Bowel Preparation Education
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 140 participants
- Where
- 1 siteTaiwan
- Study dates
- 10 Mar 2026to 31 Jan 2027
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 20 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- 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.
Who cannot join
- 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).
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Taiwan1 site, 1 recruiting
- Recruiting
Chiayi Christian Hospital
Chiayi City, Taiwan, 60002
Chieh-Wen Liao, MSN, RN, +886-5-2765041 ext. 3696, 04739@cych.org.tw
About this study
Official title: Exploring the Effectiveness of a Multimodal Artificial Intelligence Application on Bowel Preparation Outcomes 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.
Read the detailed description
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.
- Conditions
- Bowel Preparation, Colonoscopy
- Being tested
- Multimodal AI-Assisted Bowel Preparation Education
- Keywords
- Artificial Intelligence, Bowel Preparation, Colonoscopy, Smartphone Application, Image Recognition, Patient Education
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Multimodal AI-Assisted Bowel Preparation EducationBehavioural
Also called AI-Assisted Bowel Preparation Application
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.
| Study group | Role | What they receive |
|---|---|---|
| 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. Receives: 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. Receives: Behavioral: Multimodal AI-Assisted Bowel Preparation Education |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: During colonoscopy, approximately 2-3 days after enrollment
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted10 Sep 2026
- Study start10 Mar 2026
- Primary completion31 Jan 2027 (estimated)
- Study completion31 Jan 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (5)Papers the sponsor has linked to this study.
- Other trials for Bowel PreparationStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- 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.
- Masking
- Single blind
- Who is masked
- Outcomes assessor
- Enrolment
- 140 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Chiayi Christian Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07812155
- Sponsor's protocol ID
- IRB2026016
- Other IDs
- IRB2026016
- Acronym
- MMAI-BP
- Status last verified
- Sep 2026
- First submitted
- 4 Sep 2026
- Last updated
- 14 Sep 2026
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: Individual participant data will not be shared because the study protocol and informed consent do not include provisions for public sharing of individual-level participant data. De-identified aggregate study results may be reported in publications and presentations.
Publications
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.
PubMed 39225554Hassan 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.
PubMed 31295746Gimeno-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.
PubMed 37893552Desai 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.
PubMed 30705956Chen 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.
PubMed 39057517
Study at a glance
From the registry record, last updated by the sponsor on 14 Sep 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Exploring the Effectiveness of a Multimodal Artificial Intelligence Application on Bowel Preparation Outcomes for Colonoscopy
- ClinicalTrials.gov ID
- NCT07812155
- Acronym / sponsor ID
- MMAI-BP / IRB2026016
- Conditions
- Bowel Preparation, Colonoscopy
- Keywords
- Artificial Intelligence, Bowel Preparation, Colonoscopy, Smartphone Application, Image Recognition, Patient Education
- Study type
- Interventional
- Recruitment status
- Recruiting
- Enrolment
- 140 participants (estimated)
- Lead sponsor
- Chiayi Christian HospitalUniversity, hospital or other
- Study start
- 10 Mar 2026 (actual)
- Primary completion
- 31 Jan 2027 (estimated)
- Study completion
- 31 Jan 2027 (estimated)
- First posted
- 10 Sep 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
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.
Study design
- Primary purpose
- Supportive care
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Single blind (outcomes assessor)
- Number of arms
- 2
- Model description
- 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.
| Arm | Type | Receives |
|---|---|---|
| Multimodal AI-Assisted Education Group | Experimental | Behavioral: Multimodal AI-Assisted Bowel Preparation EducationParticipants 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. |
| Conventional Nursing Education Group | Active comparator | Behavioral: Multimodal AI-Assisted Bowel Preparation EducationParticipants 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. |
Who may qualify
- Ages
- 20 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (5 listed)
- 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.
Key exclusion criteria (5 listed)
- 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).
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Multimodal AI-Assisted Bowel Preparation EducationAlso: AI-Assisted Bowel Preparation ApplicationParticipants 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. | Behavioural | Conventional Nursing Education Group, Multimodal AI-Assisted Education Group |
Primary outcome
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.
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 14 Sep 2026.
- Results publication: PubMed 39225554Beran 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.
- Results publication: PubMed 31295746Hassan 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.
- Results publication: PubMed 37893552Gimeno-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.
- Results publication: PubMed 30705956Desai 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.
- Results publication: PubMed 39057517Chen 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.
- Individual participant dataSharing planned: No. Individual participant data will not be shared because the study protocol and informed consent do not include provisions for public sharing of individual-level participant data. De-identified aggregate study results may be reported in publications and presentations.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Multimodal AI-Assisted Bowel Preparation Education in people with Bowel Preparation and Colonoscopy, run by Chiayi Christian Hospital at 1 site in Taiwan.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: looking for participants now, as of the sponsor's last update on 14 Sep 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Taiwan. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Each site lists its own contact: choose the nearest one under Trial locations. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Bowel Cleansing Quality Assessed Using the Aronchick Scale (time frame: During colonoscopy, approximately 2-3 days after enrollment). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07812155, which also lists 5 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 14 Sep 2026; AzTrials last refreshed its copy on 30 Oct 2026.