Improving capsule endoscopy diagnostics with artificial intelligence
Development of New Diagnostic Tools in Capsule Endoscopy
Assistance Publique - Hôpitaux de Paris · NCT06152289
This study is testing whether using artificial intelligence can help doctors read capsule endoscopy images more accurately and quickly for patients getting this routine procedure.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 10000 (estimated) |
| Sex | All |
| Sponsor | Assistance Publique - Hôpitaux de Paris (other) |
| Locations | 1 site (Paris) |
| Trial ID | NCT06152289 on ClinicalTrials.gov |
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.
Who should consider this trial
Good fit: Ideal candidates include any patients scheduled for a capsule endoscopy as part of their routine care.
Not a fit: Patients who oppose the use of their images and videos for research purposes will not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to faster and more accurate diagnoses for patients with bowel diseases.
How similar studies have performed: While the use of AI in medical diagnostics is gaining traction, this specific application in capsule endoscopy is relatively novel and has not been extensively tested.
Eligibility criteria
Show full inclusion / exclusion criteria
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 this trial is running
Paris
- 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
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Bowel Disease, Crohn Disease, Celiac Disease, Chronic Diarrhea, Tumor, Small bowel, Capsule endoscopy, Artificial intelligence