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NCT05151939
Endoscopic Ultrasound (EUS) Artificial Intelligence Model for Normal Mediastinal and Abdominal Strictures Assessment
trial testing Identification or discharge visualization of mediastinal and abdominal organ/anatomic strictures through Endoscopic ultrasound (EUS) videos by an expert endoscopist in Abdomen in 60 participants. Status unknown.
30 March 2022
Quick facts
| Lead sponsor | Instituto Ecuatoriano de Enfermedades Digestivas |
|---|---|
| Status | Status unknown |
| Study type | OBSERVATIONAL |
| Enrollment | 60 |
| Start date | 1 October 2021 |
| Primary completion | 30 March 2022 |
| Estimated completion | 30 June 2022 |
| Sites | 1 location across Ecuador |
Drugs / interventions tested
- Identification or discharge visualization of mediastinal and abdominal organ/anatomic strictures through Endoscopic ultrasound (EUS) videos by an expert endoscopist
- Recognition of mediastinal and abdominal organ/anatomic strictures through Endoscopic ultrasound (EUS) videos using artificial intelligence (AI)
Conditions studied
- Abdomen — all drugs for Abdomen →
- Mediastinum — all drugs for Mediastinum →
- Anatomic Abnormality — all drugs for Anatomic Abnormality →
- Strictures — all drugs for Strictures →
Sponsor
Instituto Ecuatoriano de Enfermedades Digestivas — full company profile →
Who can join
Adults 18 to 79, any sex, with Abdomen or Mediastinum. Patients with the condition only — healthy volunteers not accepted.
Sponsor's own description
Therefore, a high number of procedures is necessary to achieve EUS competency, but interobserver agreement still varies widely. Artificial intelligence (AI) aided recognition of anatomical structures may improve the training process and inter-observer agreement. Robles-Medranda et al. developed an AI model that recognizes normal anatomical structures during linear and radial EUS evaluations. We pursue to design an external validation of our developed AI model, considering an endoscopist expert as the gold standard.
Publications & conference data
2 peer-reviewed publications reference this trial (live from Europe PMC):
-
Research progress and hotspot of the artificial intelligence application in the ultrasound during 2011-2021: A bibliometric analysis.
Xia D, Chen G, Wu K, Yu M, et al · · 2022 · cited 7× · PMID 36187670 · DOI 10.3389/fpubh.2022.990708 -
Artificial intelligence in abdominal and pelvic ultrasound imaging: current applications.
Cai L, Pfob A. · · 2025 · cited 6× · PMID 39487919 · DOI 10.1007/s00261-024-04640-x
Verify or expand the search:
- PubMed search for NCT05151939
- Europe PMC full search
- ASCO Meeting Library
- ESMO Meeting Library
- bioRxiv preprints
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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 NCT05151939 (US National Library of Medicine, public domain)
- Publications: Europe PMC API search by NCT ID, retrieved 10 June 2026
- 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: 30 December 2021
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/NCT05151939.
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