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NCT04444908

Development and Validation of an Artificial Intelligence-assisted Strategy Selection System for Colonoscopy Cleaning

Status unknown Last updated 17 November 2020
What this trial tests

trial in Colorectal Adenoma in 657 participants. Status unknown.

Timeline
11 May 2020
Primary endpoint
15 October 2020
16 November 2020

Quick facts

Lead sponsorRenmin Hospital of Wuhan University
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment657
Start date11 May 2020
Primary completion15 October 2020
Estimated completion16 November 2020
Sites1 location across China

Conditions studied

Sponsor

Renmin Hospital of Wuhan University

Who can join

18 and older, any sex, with Colorectal Adenoma. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Patients with poor inadequate bowel preparation need to undergo secondary colonoscopy. but the evaluation of intestinal cleanliness is judged by doctors subjectively. there are no objective and effective criteria to guide the evaluation. We use the deep learning technique to develop the EndoAngel with real-time intestinal cleanliness assessment. It can derive a decision curve for bowel cleanliness based on the relationship between the percentage of bowel segments with a Boston score of 1 and the adenoma detection rate. It can help doctors to identify patients who need a second colonoscopy, and provide a new way for artificial intelligence in improving the detection rate of colonoscopic adenomas.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Colorectal Adenoma

Currently open trials in the same condition.

Other Renmin Hospital of Wuhan University trials

Trials by the same sponsor.

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Data sources for this page

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