AI trained on 10,000 patients to spot bowel diseases faster

NCT ID NCT06152289

Recruiting now Diagnosis Sponsor: Assistance Publique - Hôpitaux de Paris Source: ClinicalTrials.gov ↗

First seen Jun 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study will collect capsule endoscopy images from 10,000 patients to train an artificial intelligence system to detect bowel diseases, Crohn's disease, celiac disease, chronic diarrhea, and tumors. The goal is to improve diagnostic accuracy and reduce the time doctors spend reviewing images. Participants are patients already undergoing capsule endoscopy as part of their routine care.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: Artificial intelligence software
What this could lead to: If successful, this AI could help doctors detect bowel diseases faster and more accurately, reducing reading time and improving diagnosis.
What could go wrong: This is an early-stage development study, not a treatment trial. The AI may not perform better than standard reading, and results may not apply to all patients or settings.

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Conditions

The condition(s) this trial relates to.

celiac disease chronic diarrheal disease Crohn disease intestinal disorder neoplasm

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

BOWEL DISEASE CELIAC DISEASE CHRONIC DIARRHEA CROHN DISEASE TUMOR

Contacts and locations

Locations

Centre d'Endoscopie Digestive Hôpital Saint-Antoine
RECRUITING

Paris, 75012, France

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