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Artificial Intelligence-assisted System in Colonoscopy

NCT06406062 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 7500

Last updated 2025-04-13

No results posted yet for this study

Summary

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.

Conditions

  • Adenoma Colon Polyp

Interventions

DEVICE

ANDOANGEL

Polyps were identified by endoscopists assisted by an AI system: rectangular box marks; Monitoring of ileocecal position: whether blindness was reached was displayed in the lower left corner of the interface. Mirror entry and exit time monitoring: the operation time is displayed in the upper left corner of the interface. Colonoscopy withdrawal speed monitoring: the relative withdrawal speed was displayed on the left side of the interface.

Sponsors & Collaborators

  • Renmin Hospital of Wuhan University

    lead OTHER

Eligibility

Min Age
50 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-05-20
Primary Completion
2025-12-30
Completion
2025-12-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06406062 on ClinicalTrials.gov