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