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NCT05687318

A Clinical Trial of the Effectiveness and Safety of Software Assisting Diagnose the Intestinal Polyp Digestive Endoscopy by Analysis of Colonoscopy Medical Images From Electronic Digestive Endoscopy Equipment

Completed NA Last updated 6 September 2023
What this trial tests

NA trial testing DeFrame in Artificial Intelligence in 337 participants. Completed in 2 August 2023.

Timeline
20 September 2022
Primary endpoint
28 April 2023
2 August 2023

Quick facts

Lead sponsorPeking Union Medical College Hospital
PhaseNA
StatusCompleted
Study typeINTERVENTIONAL
Allocationrandomized
Designsequential
Maskingsingle
Primary purposediagnostic
Enrollment337
Start date20 September 2022
Primary completion28 April 2023
Estimated completion2 August 2023
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Peking Union Medical College Hospital

Who can join

Adults 18 to 85, any sex, with Artificial Intelligence or Enteroscope. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

A clinical trial of the effectiveness and safety of intestinal polyp digestive endoscopy-assisted diagnosis software used in the analysis of colonoscopy medical images generated by electronic digestive endoscopy equipment.

Publications & conference data

No peer-reviewed publications indexed yet for this trial. Completed trials usually publish results within 12-18 months.

Verify or expand the search:

Other trials of DeFrame

Trials testing the same drug.

Other recruiting trials for Artificial Intelligence

Currently open trials in the same condition.

Other Peking Union Medical College Hospital 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/NCT05687318.

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