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
Istituti Clinici Scientifici Maugeri SpA
380 participants
Feb 20, 2025
OBSERVATIONAL
Conditions
Summary
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.
Eligibility
Inclusion Criteria2
- Adult patients (age ≥18 years).
- Patients undergoing endoscopic investigation of the small bowel (endoscopy or capsule endoscopy)
Exclusion Criteria1
- Inability to provide informed consent.
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Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT07387185