Artificial Intelligence-assisted System in Colonoscopy

Wuhan University

Status: Enrolling

Conditions: Adenoma Colon Polyp

Treatments: Device: ANDOANGEL

Study type: Observational

Funder types: Other

Identifiers

NCT06406062

2024K-K017

Details and patient eligibility

About

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.

Enrollment: 7,500 estimated patients

Sex: All

Ages: 50+ years old

Volunteers: No Healthy Volunteers

Inclusion criteria

1. age > 50 years old;
2. required diagnostic colonoscopy, screening colonoscopy, or follow-up colonoscopy;
3. voluntarily sign informed consent;
4. Commitment to abide by the study procedures and cooperate with the implementation of the whole process of the study.

Exclusion criteria

1. have participated in other clinical trials, signed informed consent and are in the follow-up period of other clinical trials;
2. known polyposis syndrome patients;
3. patients with known IBD;
4. patients considered by the investigators to be unsuitable or unable to undergo complete digestive endoscopy and related examinations;
5. high-risk diseases or other special conditions considered by the investigator to be unsuitable for clinical trial participation.

Trial design

7,500 participants in 2 patient groups

AI-assisted group

Description:

Group with AI assistance

Treatment:

Device: ANDOANGEL

Control group

Description:

Group without AI assistance