AI system to detect and describe small-bowel mucosal damage in celiac and other enteropathies

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This multicenter observational project will develop a deep-learning AI using anonymized retrospective endoscopy images and videos, then prospectively validate its performance on recorded procedures. In the retrospective phase, algorithms are trained to recognize mucosal atrophy and other lesions such as angiodysplasia, ulcers, and polyps. In the prospective phase, adult patients undergoing small-bowel endoscopy or capsule endoscopy will have their recorded videos analyzed offline by the AI and compared to standard human interpretation and biopsy results where available. The aim is to reduce missed lesions and decrease inter-observer variability in endoscopic characterization.

Why it matters

Who can join: the full rules

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.

Where it's running

• ICS Maugeri IRCCS
  Pavia, Pv, Italy Recruiting

Study contacts

• Study coordinator: Federico Biagi, MD
• Email: federico.biagi@icsmaugeri.it
• Phone: 0382592695

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.