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Effect of AI Monitoring Blind Spots of EGD on the Inspection Time and Lesion Dection Rate

NCT05832411 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1672

Last updated 2023-06-22

No results posted yet for this study

Summary

The goal of this clinic trial is to learn about the effect of AI monitoring blind spots on the inspection time to EGD. Patients are randomly assigned to undergo an EGD with or without the assistance of AI. In the AI group, except for the original videos, there is additional information presented to endoscopists:(1)the virtual stomach model monitoring;(2)time;(3)scoring. Researchers will compare intervention group to see if it have a shorter inspection time compared with the control group.

Conditions

  • Upper Gastrointestinal Symptoms

Interventions

DEVICE

Endoangle

there is additional information presented to endoscopists:（1）the virtual stomach model monitoring；（2）time;（3）scoring.

Sponsors & Collaborators

  • Renmin Hospital of Wuhan University

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2023-07-01
Primary Completion
2024-05-31
Completion
2024-08-31

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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 NCT05832411 on ClinicalTrials.gov