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A Real-time Quality Control System of Magnetic-controlled Capsule Gastroscopy

NCT04954677 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 194

Last updated 2025-01-03

No results posted yet for this study

Summary

With the rapid development of artificial intelligence technology, more and more deep learning technology has been applied to medicine. Our research is to develop a set of quality control system for magnetic capsule gastroscope using deep learning technology, and conduct a randomized controlled trial to verify its practical efficiency.

Conditions

  • Magnet Controlled Capsule Endoscopy

Interventions

OTHER

AI-box

Automatic quality-control system（AI-box）could real-time measure endoscopic inspection completeness, evaluate gastric cleanliness.

Sponsors & Collaborators

  • Ancon Technologies Ltd

    collaborator INDUSTRY

  • Shandong Provincial Hospital

    collaborator OTHER_GOV

  • Binzhou Medical University

    collaborator OTHER

  • Shandong University

    lead OTHER

Principal Investigators

  • Yanqing Li, PhD · Qilu Hospital of Shandong University

Study Design

Allocation
RANDOMIZED
Purpose
SCREENING
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-08-27
Primary Completion
2022-07-28
Completion
2022-08-04

Countries

  • China

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 NCT04954677 on ClinicalTrials.gov