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Artificial Intelligence-assisted Colonoscopy on Detection of Missed Proximal Lesions

NCT04294355 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 216

Last updated 2022-04-21

No results posted yet for this study

Summary

This is a prospective multi-center randomized study is to determine whether the use of artificial intelligence (AI)-assistance could reduce the miss rates of polyps and adenomas in the proximal colon during tandem examination

Conditions

  • Colon Adenoma
  • Colon Polyp

Interventions

DEVICE

Artificial intelligence-Assisted colonoscopy

Artificial intelligence-Assisted colonoscopy for detection of colonic polyp

PROCEDURE

Conventional colonoscopy

Conventional colonoscopy

Sponsors & Collaborators

  • Tan Tock Seng Hospital

    collaborator OTHER

  • Institute of Gastroenterology and Hepatology, Vietnam

    collaborator OTHER

  • The University of Hong Kong

    lead OTHER

Principal Investigators

  • Ka Luen, Thomas Lui, MBBS · Queen Mary Hospital, the University of Hong Kong

  • Wai Keung Leung, MD · Queen Mary Hospital, the University of Hong Kong

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
40 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-03-01
Primary Completion
2022-03-31
Completion
2022-04-15

Countries

  • China
  • Singapore
  • Vietnam

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 NCT04294355 on ClinicalTrials.gov