Efficacy of AI-Assisted Colonoscopy for Screening Colorectal Neoplasia (AI-COLOSCREEN)

NCT07307547 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 3342

Last updated 2026-02-10

No results posted yet for this study

Summary

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.

Conditions

Interventions

DEVICE

AI-Assisted Colonoscopy

High-definition colonoscopy procedure with a real-time video analyzed artificial intelligence system.

Sponsors & Collaborators

  • Zhejiang University

    lead OTHER

Principal Investigators

  • Kefeng Ding, M.D., Ph.D. · Second Affiliated Hospital, School of Medicine, Zhejiang University

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2026-04-30
Primary Completion
2028-12-31
Completion
2028-12-31

Countries

  • China

Study Locations

More Related Trials

Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07307547 on ClinicalTrials.gov