About this trial

In recent years, computer-aided diagnosis system based on artificial intelligence (AI) has been used in colorectal polyp detection. In recent years, computer-aided diagnosis system based on artificial intelligence (AI) has been used in colorectal polyp detection. However, whether AI-assisted can improve the adenoma-detection rate (ADR) is inconclusive. This study aims to evaluate the real-world performance of an AI system that combines polyp detection with colonoscopy quality control.

This study aims to explore the clinical application value of AI-based polyp detection and quality control function by comparing the data of polyp detection rate and adenoma detection rate in multiple centers with and without AI-assisted colonoscopy in a multicenter, prospective real world study. However, whether AI-assisted can improve the adenoma-detection rate (ADR) is inconclusive. This study aims to evaluate the real-world performance of an AI system that combines polyp detection with colonoscopy quality control.

This study aims to explore the clinical application value of AI-based polyp detection and quality control function by comparing the data of polyp detection rate and adenoma detection rate in multiple centers with and without AI-assisted colonoscopy in a multicenter, prospective real world study.

Eligibility criteria

Qualifiers

age > 50 years old;

required diagnostic colonoscopy, screening colonoscopy, or follow-up colonoscopy;

voluntarily sign informed consent;

Commitment to abide by the study procedures and cooperate with the implementation of the whole process of the study.

Disqualifiers

have participated in other clinical trials, signed informed consent and are in the follow-up period of other clinical trials;

known polyposis syndrome patients;

patients with known IBD;

patients considered by the investigators to be unsuitable or unable to undergo complete digestive endoscopy and related examinations;

Trial design

Treatments tested in this trial

ANDOANGEL

Treatment groups

7,500 Participants

are divided into 2 treatment groups

Artificial Intelligence-assisted System in Colonoscopy