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NCT04912037

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

Status unknown NA Last updated 3 June 2021
What this trial tests

NA trial testing artificial intelligence assistance system in Colonoscopy in 385 participants. Status unknown.

Timeline
1 June 2021
Primary endpoint
1 January 2022
1 February 2022

Quick facts

Lead sponsorRenmin Hospital of Wuhan University
PhaseNA
StatusStatus unknown
Study typeINTERVENTIONAL
Allocationrandomized
Designparallel
Maskingdouble
Primary purposediagnostic
Enrollment385
Start date1 June 2021
Primary completion1 January 2022
Estimated completion1 February 2022
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Renmin Hospital of Wuhan University

Who can join

50 and older, any sex, with Colonoscopy or Artificial Intelligence. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

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。

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other trials of artificial intelligence assistance system

Trials testing the same drug.

Other recruiting trials for Colonoscopy

Currently open trials in the same condition.

Other Renmin Hospital of Wuhan University trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04912037.

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