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AI-assisted Detection of Missed Colonic Polyps

NCT04227795 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 52

Last updated 2020-03-04

No results posted yet for this study

Summary

A prospective validation of real time deep learning artificial intelligence model for detection of missed colonic polyps

Conditions

Interventions

DEVICE

Artificial intelligence-Assisted real time colonoscopy

The colonoscopy was performed under artificial intelligence assistance

Sponsors & Collaborators

  • The University of Hong Kong

    lead OTHER

Principal Investigators

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

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
40 Years
Max Age
90 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-01-01
Primary Completion
2020-02-01
Completion
2020-03-01

Countries

  • Hong Kong

Study Locations

More Related Trials

Entities

Diseases

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 NCT04227795 on ClinicalTrials.gov