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A Study on the Effectiveness of AI-assisted Colonoscopy in Improving the Effect of Colonoscopy Training for Trainees

NCT04912037 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 385

Last updated 2021-06-03

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 improve the colonoscopy performance of novice physicians and assist the colonoscopy training。

Conditions

  • Colonoscopy
  • Artificial Intelligence
  • Gastrointestinal Disease

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 w Honggang, Doctor · Renmin Hospital of Wuhan University

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
50 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-06-01
Primary Completion
2022-01-01
Completion
2022-02-01

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 NCT04912037 on ClinicalTrials.gov