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NCT04227795

AI-assisted Detection of Missed Colonic Polyps

Completed NA Last updated 4 March 2020
What this trial tests

NA trial testing Artificial intelligence-Assisted real time colonoscopy in Colon Adenoma in 52 participants. Completed in 1 March 2020.

Timeline
1 January 2020
Primary endpoint
1 February 2020
1 March 2020

Quick facts

Lead sponsorThe University of Hong Kong
PhaseNA
StatusCompleted
Study typeINTERVENTIONAL
Allocationna
Designsingle group
Maskingnone
Primary purposediagnostic
Enrollment52
Start date1 January 2020
Primary completion1 February 2020
Estimated completion1 March 2020
Sites1 location across Hong Kong

Drugs / interventions tested

Conditions studied

Sponsor

The University of Hong Kong

Who can join

Adults 40 to 90, any sex, with Colon Adenoma or Colonic Polyp. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

A prospective validation of real time deep learning artificial intelligence model for detection of missed colonic polyps

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. New insights on missed colonic lesions during colonoscopy through artificial intelligence-assisted real-time detection (with video).
    Lui TKL, Hui CKY, Tsui VWM, Cheung KS, et al · · 2021 · cited 17× · PMID 32376335 · DOI 10.1016/j.gie.2020.04.066

Verify or expand the search:

Other recruiting trials for Colon Adenoma

Currently open trials in the same condition.

Other The University of Hong Kong trials

Trials by the same sponsor.

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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/NCT04227795.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing