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NCT06279546

Artificial Intelligence vs Endoscopist Identification in EUS Normal Anatomy

Completed Last updated 28 February 2024
What this trial tests

trial testing Detection of structures in Gastrointestinal Diseases in 30 participants. Completed in 26 January 2024.

Timeline
1 May 2023
Primary endpoint
1 October 2023
26 January 2024

Quick facts

Lead sponsorInstituto Ecuatoriano de Enfermedades Digestivas
StatusCompleted
Study typeOBSERVATIONAL
Enrollment30
Start date1 May 2023
Primary completion1 October 2023
Estimated completion26 January 2024
Sites1 location across Ecuador

Drugs / interventions tested

Conditions studied

Sponsor

Instituto Ecuatoriano de Enfermedades Digestivas — full company profile →

Who can join

Adults 18 to 99, any sex, with Gastrointestinal Diseases. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Endoscopic ultrasound (EUS) visual impression is operator-dependant and can hinder diagnostic accuracy, especially in less experienced endoscopists. The implementation of artificial intelligence can potentially mitigate operator dependency and interpretation variability, helping or improving the overall accuracy. The investigators therefore aim to compare diagnostic accuracy between artificial intelligence (AI)-based model and the endoscopists when identifying normal anatomical structures in EUS-procedures.

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 recruiting trials for Gastrointestinal Diseases

Currently open trials in the same condition.

Other Instituto Ecuatoriano de Enfermedades Digestivas 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/NCT06279546.

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