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Artificial Intelligence-assisted Colonoscopy for Detection of Colon Polyps

NCT04126265 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 560

Last updated 2020-01-02

No results posted yet for this study

Summary

All subjects shall sign informed consent before screening, and subjects shall be included according to inclusion and exclusion criteria.

A total of four endoscopists were included in the study, two in each group of senior endoscopists and two in each group of junior endoscopists.

Patients were randomly enrolled into the senior endoscopy group and the junior endoscopy group, and received artificial intelligence assisted colonoscopy and conventional colonoscopy successively. The two colonoscopy methods were performed back to back by different endoscopy physicians with the same seniority.

All patients were examined and treated according to routine medical procedures. The routine colonoscopy group and the artificial-intelligence-assisted colonoscopy group made detailed records of the patients' withdrawal time, entry time, number of polyps detected, polyp Paris classification, polyp size, polyp shape, polyp location and intestinal preparation during the colonoscopy process

Conditions

  • Artificial Intelligence
  • Colonoscopy

Interventions

DEVICE

Artificial intelligence assisted colonoscopy

The colonoscopy is connected to the real-time polyp detection system. If the polyp is detected by enteroscopy, the alarm will be given.

Sponsors & Collaborators

  • Side Liu

    lead OTHER

Principal Investigators

  • side liu, doctor degree · Chief physician

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
80 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2019-09-01
Primary Completion
2020-04-30
Completion
2020-08-31

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 NCT04126265 on ClinicalTrials.gov