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Evaluate the Effects of An AI System on Colonoscopy Quality of Novice Endoscopists

NCT05323279 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 685

Last updated 2023-03-24

No results posted yet for this study

Summary

In this study, the AI-assisted system EndoAngel has the functions of reminding the ileocecal junction, withdrawal time, withdrawal speed, sliding lens, polyps in the field of vision, etc. These functions can assist novice endoscopists in performing colonoscopy and improve the quality.

Conditions

  • Colonoscopy
  • Artificial Intelligence
  • Gastrointestinal Disease
  • Deep Learning

Interventions

DEVICE

artificial intelligence assistance system

The artificial intelligence assistance system can indicate abnormal lesions and real-time withdrawal speed and feedback the overspeed percentage.

Sponsors & Collaborators

  • Renmin Hospital of Wuhan University

    lead OTHER

Principal Investigators

  • Yu Honggang, Doctor · Renmin Hospital of Wuhan University

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
SINGLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-03-24
Primary Completion
2022-10-24
Completion
2022-11-24

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 NCT05323279 on ClinicalTrials.gov