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NCT06279546
Artificial Intelligence vs Endoscopist Identification in EUS Normal Anatomy
trial testing Detection of structures in Gastrointestinal Diseases in 30 participants. Completed in 26 January 2024.
1 October 2023
Quick facts
| Lead sponsor | Instituto Ecuatoriano de Enfermedades Digestivas |
|---|---|
| Status | Completed |
| Study type | OBSERVATIONAL |
| Enrollment | 30 |
| Start date | 1 May 2023 |
| Primary completion | 1 October 2023 |
| Estimated completion | 26 January 2024 |
| Sites | 1 location across Ecuador |
Drugs / interventions tested
- Detection of structures
Conditions studied
- Gastrointestinal Diseases — all drugs for Gastrointestinal Diseases →
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:
- PubMed search for NCT06279546
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
- medRxiv preprints
- Google Scholar
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Other Instituto Ecuatoriano de Enfermedades Digestivas trials
Trials by the same sponsor.
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT06279546 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Instituto Ecuatoriano de Enfermedades Digestivas
- Last refreshed: 28 February 2024
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