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Computer-aided Detection for Colonoscopy

NCT03842059 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1000

Last updated 2019-02-15

No results posted yet for this study

Summary

We developed an artificial intelligent computer system with a deep neural network to analyze real-time video signals from the endoscopy station. This randomised controlled trial compared adenoma detection rate between computer-assisted colonoscopy and standard colonoscopy.

Conditions

  • Compare Between Computer-assisted Colonoscopy and Standard Colonoscopy

Interventions

DEVICE

Computer-aided detection

We developed an artificial intelligent computer system with a deep neural network (PX-1) to analyze real-time video signals from the endoscopy station

DEVICE

Standard colonoscopy

Standard colonoscopy

Sponsors & Collaborators

  • Tri-Service General Hospital

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
20 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2019-03-01
Primary Completion
2021-12-31
Completion
2021-12-31

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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 NCT03842059 on ClinicalTrials.gov