NCT07261059

Brief Summary

Colorectal cancer (CRC) ranks the second most common cancer and the fourth leading cause of cancer-related deaths in China. Early screening of CRC has been proven to reduce the incidence and mortality, with colonoscopy as the gold standard for CRC screening. This trial aims to evaluate the effectiveness of artificial intelligence-assistant integrated care for improving uptake rate of colonoscopy among high-risk individuals aged 40 to 64 in China. It's a two-arm, parallel cluster randomized controlled trial. The main question it aims to answer is whether the AI-assisted integrated care influence participants' screening-related knowledge, health beliefs, behavioral intention, and uptake of colonoscopy. Participants will:

  1. 1.Be recruited and allocated into one of two groups according to the assigned clusters. Participants in one group will be invited to receive usual specialty care. In addition to usual specialty care, participants in the other group will receive AI-assisted integrated care provided by specialist and general practitioners collaboratively.
  2. 2.Complete a questionnaire survey on their knowledge, health beliefs, behavioral intention on CRC screening.
  3. 3.Have their colonoscopy status checked at the middle and end of trial.

Trial Health

65
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
400

participants targeted

Target at P75+ for not_applicable

Timeline
7mo left

Started Dec 2025

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress42%
Dec 2025Dec 2026

First Submitted

Initial submission to the registry

November 21, 2025

Completed
12 days until next milestone

First Posted

Study publicly available on registry

December 3, 2025

Completed
5 days until next milestone

Study Start

First participant enrolled

December 8, 2025

Completed
9 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

September 1, 2026

Expected
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 1, 2026

Last Updated

December 3, 2025

Status Verified

December 1, 2025

Enrollment Period

9 months

First QC Date

November 21, 2025

Last Update Submit

December 2, 2025

Conditions

Keywords

colorectal cancercolonoscopyartificial intelligenceintegrated caretrial

Outcome Measures

Primary Outcomes (2)

  • Uptake of colonoscopy

    Whether participants receive colonoscopy for colorectal cancer screening.Data will be collected from information system of hospitals.

    Three and six months after recruitment

  • Time to completion of colonoscopy

    The interval from intervention initiation to the colonoscopy procedure. Data will be collected from information systems of hospitals.

    Six months after recruitment

Secondary Outcomes (6)

  • CRC screening literacy

    One month after recruitment

  • CRC screening belief

    One month after recruitment

  • Colonoscopy behavioral intention

    One month after recruitment

  • User engagement level with chatbot

    Six months after recruitment

  • Usability of AI-assisted integrated care intervention

    Six months after recruitment

  • +1 more secondary outcomes

Study Arms (2)

AICC intervention group

EXPERIMENTAL

Participants in the intervention group will receive AICC. This includes a colonoscopy recommendation from a county specialist for both participants and their families, followed by an introduction to and guided registration for a CRC education chatbot with an initial 5-minute tutorial. Subsequently, general practitioners will conduct three monthly face-by-face follow-ups, each comprising a brief reminder of colonoscopy and a guided usage of CRC education chatbot.

Behavioral: AI-assisted integrated care

Control group

NO INTERVENTION

Participants in this group will receive usual specialty care, only a colonoscopy recommendation from a county specialists. For ethical considerations, participants in this arm will be offered access to the chatbot after the end of the study.

Interventions

A colorectal cancer screening chatbot delivered via WeChat or a web browser, designed to provide information and health education about the colonoscopy, including essential knowledge, screening rationale, methods, procedural details, and local screening policies,. The chatbot is powered by large language models and is trained on an expert-validated knowledge base derived from authoritative sources such as the China colorectal cancer screening guidelines to ensure accuracy. The knowledge base is validated by colorectal cancer specialists. The chatbot engages users in interactive, conversational dialogue to answer questions and address concerns regarding colorectal cancer and colonoscopy. In addition to a colonoscopy recommendation from a county specialist at on-site, general practitioners will also join to provide recommendation and brief reminder of colonoscopy within the follow-up period.

AICC intervention group

Eligibility Criteria

Age40 Years - 64 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64)

You may qualify if:

  • Individuals who test positive on either the Colorectal Cancer Risk Assessment Scale or the fecal immunochemical test (FIT);
  • Aged 40 \~ 64 years;
  • Proficient in smartphone use and able to engage with the intervention;
  • Provided informed consent .

You may not qualify if:

  • History of colorectal cancer;
  • Contraindications to colonoscopy,(e.g. severe cardiac, cerebral, lung diseases, or renal dysfunction).

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (20)

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    PMID: 27196920BACKGROUND
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    PMID: 29846947BACKGROUND
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    PMID: 27687535BACKGROUND
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    PMID: 32439077BACKGROUND
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    PMID: 30326005BACKGROUND
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    PMID: 21162896BACKGROUND
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    PMID: 38461798BACKGROUND
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    PMID: 30377193BACKGROUND
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    PMID: 40696392BACKGROUND
  • Expert Group on Early Diagnosis and Treatment of Cancer, Chinese Society of Oncology, Chinese Medical Association. [Expert consensus on the early diagnosis and treatment of colorectal cancer in China (2023 edition)]. Zhonghua Yi Xue Za Zhi. 2023 Dec 26;103(48):3896-3908. doi: 10.3760/cma.j.cn112137-20230804-00164. Chinese.

    PMID: 38129166BACKGROUND
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    PMID: 38855153BACKGROUND
  • National Cancer Center, China, Expert Group of the Development of China Guideline for the Screening, Early Detection and Early Treatment of Colorectal Cancer. [China guideline for the screening, early detection and early treatment of colorectal cancer (2020, Beijing)]. Zhonghua Zhong Liu Za Zhi. 2021 Jan 23;43(1):16-38. doi: 10.3760/cma.j.cn112152-20210105-00010. Chinese.

    PMID: 33472315BACKGROUND
  • Siegel RL, Wagle NS, Cercek A, Smith RA, Jemal A. Colorectal cancer statistics, 2023. CA Cancer J Clin. 2023 May-Jun;73(3):233-254. doi: 10.3322/caac.21772. Epub 2023 Mar 1.

    PMID: 36856579BACKGROUND

MeSH Terms

Conditions

Colorectal Neoplasms

Condition Hierarchy (Ancestors)

Intestinal NeoplasmsGastrointestinal NeoplasmsDigestive System NeoplasmsNeoplasms by SiteNeoplasmsDigestive System DiseasesGastrointestinal DiseasesColonic DiseasesIntestinal DiseasesRectal Diseases

Study Officials

  • Zhiyuan Hou, PhD

    Fudan University

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Zhiyuan Hou, PhD

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Purpose
HEALTH SERVICES RESEARCH
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Associate Professor

Study Record Dates

First Submitted

November 21, 2025

First Posted

December 3, 2025

Study Start

December 8, 2025

Primary Completion (Estimated)

September 1, 2026

Study Completion (Estimated)

December 1, 2026

Last Updated

December 3, 2025

Record last verified: 2025-12

Data Sharing

IPD Sharing
Will not share

Individual participant data will not be shared due to participant privacy concerns and institutional data protection policies.