Improving capsule endoscopy diagnostics with artificial intelligence

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 observational study aims to enhance the diagnostic capabilities of capsule endoscopy by utilizing artificial intelligence. Patients undergoing routine capsule endoscopy will have their de-identified images and videos collected to create databases for training AI algorithms. These algorithms will be developed to automatically detect anatomical landmarks and abnormal findings, as well as assess intestinal cleanliness, ultimately improving diagnostic accuracy and reducing reading time for physicians. The study will evaluate the performance of these AI tools over a period of months to five years.

Why it matters

Who can join: the full rules

Inclusion Criteria:

\- Any patient in whom a capsule endoscopy examination is performed as part of routine care.

Exclusion Criteria:

\- Opposition to the use of images and videos from daily, routine care for research purposes.

Where it's running

• Centre d'Endoscopie Digestive Hôpital Saint-Antoine
  Paris, France Recruiting

Study contacts

• Study coordinator: Xavier DRAY, MD PhD
• Email: Xavier.dray@aphp.fr
• Phone: +33 (0) 49 28 21 60

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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.