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NCT07387185

AI System for Detection and Characterization of Chronic Enteropathies

Recruiting now Last updated 4 February 2026
What this trial tests

trial in Celiac Disease in 380 participants. Currently enrolling.

Timeline
20 February 2025
Primary endpoint
1 March 2028
1 March 2028

Quick facts

Lead sponsorIstituti Clinici Scientifici Maugeri SpA
StatusRecruiting now
Study typeOBSERVATIONAL
Enrollment380
Start date20 February 2025
Primary completion1 March 2028
Estimated completion1 March 2028
Sites1 location across Italy

Conditions studied

Sponsor

Istituti Clinici Scientifici Maugeri SpA

Who can join

18 and older, any sex, with Celiac Disease or Small Bowel Mucosal Atrophy or Lesions. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Coeliac disease (CD) is an immune-mediated enteropathy leading to small intestinal mucosal atrophy. Diagnosis relies on serology and duodenal biopsies, but it can be complicated by patchy lesions and differential diagnosis with Non-Celiac Enteropathies (NCEs). This multicenter observational study aims to develop and validate an Artificial Intelligence (AI) system to detect and characterize small bowel mucosal atrophy and other pathological findings using endoscopic imaging. The study involves a retrospective phase for training the AI model and a prospective phase to validate its diagnostic accuracy compared to standard human assessment.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Celiac Disease

Currently open trials in the same condition.

Other Istituti Clinici Scientifici Maugeri SpA 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/NCT07387185.

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