Efficacy of AI-Assisted Colonoscopy for Screening Colorectal Neoplasia (AI-COLOSCREEN)
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: AI-Assisted Colonoscopy.
- Who it may be relevant to
- Registry conditions: Colorectal Neoplasms, Colonic Polyp, Adenoma, Colorectal Cancer. Basic parameters: 18 years — 75 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- China
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
A Multi-center, Randomized, Controlled Clinical Study on the Efficacy of Artificial Intelligence-Assisted Colonoscopy in Improving the Screening of Colorectal Cancer and Precancerous Lesions.
Overview
This study is a multi-center, randomized controlled trial designed to evaluate whether an artificial intelligence (AI) system can assist endoscopists to improve the detection rate of colorectal adenomas and cancers during colonoscopy compared to standard colonoscopy. Early screening and diagnosis are key to reducing the burden of colorectal cancer, but current colonoscopy has limitations, including the risk of missed lesions. This trial aims to determine if AI can enhance screening quality and diagnostic accuracy.
Detailed description
Colorectal cancer (CRC) screening is crucial for early detection and reducing mortality, yet current colonoscopy techniques face challenges such as variable adenoma detection rates (ADR) and the risk of missed diagnoses for subtle lesions. This study is a prospective, multi-center, parallel-group, randomized controlled trial aiming to validate the clinical value of an AI-assisted diagnostic system in improving screening quality. A total of 3342 participants will be randomized in a 1:1 ratio to undergo either AI-assisted colonoscopy (Experimental Group) or conventional high-definition colonoscopy (Control Group). The primary objective is to compare the ADR between the two groups. Secondary objectives include assessing the detection rate of advanced or specific types of polyps, the mean number of adenomas per procedure, and the impact of the AI system on both patient and physician satisfaction. The study will provide high-quality evidence for the standardized application of AI technology in CRC screening, with the ultimate goal of reducing the incidence and mortality of colorectal cancer.
Interventions
- Device AI-Assisted Colonoscopy
High-definition colonoscopy procedure with a real-time video analyzed artificial intelligence system.
Primary outcome measures
- Adenoma Detection Rate (ADR) [Time frame: From the day of the procedure up to 14 days post-procedure.]
Secondary outcome measures (5)
- Mean Adenomas Per Colonoscopy (APC) [Time frame: From the day of the procedure up to 14 days post-procedure.]
- Advanced Adenoma and Sessile Serrated Adenoma/Polyp (SSA/P) Detection Rate [Time frame: From the day of the procedure up to 14 days post-procedure.]
- Patient Satisfaction Score [Time frame: Assessed within 1 hour after completion of the colonoscopy procedure.]
- Physician Satisfaction Score [Time frame: Assessed within 1 hour after completion of the colonoscopy procedure.]
- Incidence of Procedure-Related Adverse Events [Time frame: From the start of the procedure up to 30 days post-procedure.]
Eligibility criteria
Inclusion criteria
- Age between 18 and 75 years, inclusive.
- Scheduled for a screening, diagnostic, or surveillance colonoscopy.
- Able to understand the study protocol and provide written informed consent.
Exclusion criteria
- Known contraindications to colonoscopy or biopsy.
- Personal history of colorectal cancer, inflammatory bowel disease (IBD), or previous colorectal surgery.
- Known or suspected colorectal polyposis syndrome (e.g., Familial Adenomatous Polyposis - FAP).
- Patients with active colorectal bleeding, bowel obstruction, or toxic megacolon.
- Women who are pregnant, planning to become pregnant, or are breastfeeding.
- Participation in another interventional clinical trial within the 30 days prior to enrollment.
- Any other condition that, in the investigator's judgment, would make the participant unsuitable for the study.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: Yes
Study design
- Allocation
- Randomized
- Model
- Parallel assignment
- Masking
- Open label
- Primary purpose
- Screening
Study locations
China · 1 center
- The Second Affiliated Hospital, Zhejiang University School of Medicine — Hangzhou
Identifiers
NCT: NCT07307547 · 2025-0756