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Artificial Intelligence-assisted Colonoscopy With or Without Endocuff Vision

NCT05863208 · Status: RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1000

Last updated 2025-06-27

No results posted yet for this study

Summary

Adenoma detection rate (ADR) is considered the single most important quality measure in colonoscopy and a higher ADR can reduce the risk of interval colorectal cancer (CRC). Several kinds of new endoscopes and accessories have been accessed to investigate the abilities of improving the ADR. Artificial intelligence (AI) and Endocuff vision are promising new devices to improve the ADR. However, the effect of combining AI and Endocuff vision on ADR remains unclear. The aim of this prospective randomized study is to compare the ADR of AI plus Endocuff vision, AI alone and standard colonoscopy examination.

Conditions

  • Adenoma Detection Rate

Interventions

DEVICE

Artificial intelligence

ASUS EndoAim AI Endoscopy System (ASUS, Taiwan) is used to help the detection of colon adenoma

DEVICE

Endocuff vision

Endocuff vision (Olympus, UK) is used to help the detection of colon adenoma

DEVICE

High-definition endoscope

High-definition endoscope (EVIS-EXERA 290 video system, Olympus Optical, Aizu, Japan) is used under white light for the detection of colon adenoma

Sponsors & Collaborators

  • Chung Shan Medical University

    collaborator OTHER

  • E-DA Hospital

    lead OTHER

Principal Investigators

  • Ying Nan Tsai, MD · Division of Gastroenterology and Hepatology, E-Da Cancer Hospital, Kaohsiung, Taiwan

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
40 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2023-05-02
Primary Completion
2025-12-31
Completion
2026-12-31

Countries

  • Taiwan

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 NCT05863208 on ClinicalTrials.gov