NCT07307547

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

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.

• Status: Not Yet Recruiting
• Phase: N/A
• Study type: Interventional
• Enrollment: 3,342 (estimated)
• Sponsor: Zhejiang University · Academic / Other
• Sex: All
• Age: 18 Years – 75 Years
• Healthy volunteers: Accepted

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.

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.

Conditions

• Colorectal Neoplasms
• Colonic Polyp
• Adenoma
• Colorectal Cancer

Interventions

Type	Name	Description
DEVICE	AI-Assisted Colonoscopy	High-definition colonoscopy procedure with a real-time video analyzed artificial intelligence system.

Timeline

• Start date: 2026-04-01
• Primary completion: 2028-12-01
• Completion: 2028-12-01
• First posted: 2025-12-29
• Last updated: 2026-02-10

Locations

1 site across 1 country: China