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RECRUITINGOBSERVATIONAL

AI System for Detection and Characterization of Chronic Enteropathies

Development and Validation of an Artificial Intelligence System for Detection and Characterization of Small Bowel Mucosal Atrophy in Celiac Disease and Non-Celiac Enteropathies: A Multicenter Observational Study

Important: This information is not medical advice. Talk to your doctor about whether a clinical trial is right for you.

About This Trial

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.

Who May Be Eligible (Plain English)

Who May Qualify: - Adult patients (age ≥18 years). - Patients undergoing endoscopic investigation of the small bowel (endoscopy or capsule endoscopy) Who Should NOT Join This Trial: - Inability to provide willing to sign a consent form. Always talk to your doctor about whether this trial is right for you.

Original Eligibility Criteria

View original clinical language
Inclusion Criteria: * Adult patients (age ≥18 years). * Patients undergoing endoscopic investigation of the small bowel (endoscopy or capsule endoscopy) Exclusion Criteria: * Inability to provide informed consent.

Locations (1)

ICS Maugeri IRCCS
Pavia, PV, Italy