Tundra Space

Tundra Space

Clinical Research Directory

Browse clinical research sites, groups, and studies.

Back to Studies
NOT YET RECRUITING
NCT07307547
NA

Effectiveness of Artificial Intelligence-Assisted Colonoscopy for Adenoma Detection in Routine Clinical Practice : a Prospective Multicenter Randomized Trial

Sponsor: Zhejiang University

View on ClinicalTrials.gov

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.

Official title: A Multi-center, Randomized, Controlled Clinical Study on the Effectiveness of Artificial Intelligence-Assisted Colonoscopy in Improving the Screening of Colorectal Cancer and Precancerous Lesions in Routine Clinical Practice Across Tertiary Academic Medical Centers

Key Details

Gender

All

Age Range

40 Years - 74 Years

Study Type

INTERVENTIONAL

Enrollment

3300

Start Date

2026-09

Completion Date

2028-12

Last Updated

2026-09-16

Healthy Volunteers

Yes

Interventions

DEVICE

AI-Assisted Colonoscopy

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

Locations (1)

The Second Affiliated Hospital, Zhejiang University School of Medicine

Hangzhou, Zhejiang, China