Clinical Trials Directory

Trials / Recruiting

RecruitingNCT06152289

Development of New Diagnostic Tools in Capsule Endoscopy

Status
Recruiting
Phase
Study type
Observational
Enrollment
10,000 (estimated)
Sponsor
Assistance Publique - Hôpitaux de Paris · Academic / Other
Sex
All
Age
Healthy volunteers
Not accepted

Summary

Patients participating to this study will provide images and videos of capsule endoscopy to train, tune and evaluate technological bricks of artificial intelligence solutions, in order to improve diagnostic performances of the procedure, while reducing reading time by physicians.

Detailed description

Capsule endoscopy is a minimally-invasive diagnostic procedure based on the ingestion (or endoscopic delivery) of a miniaturized biocompatible, camera. Capsules capture tenths of thousands images of the digestive tract. Reading the captured images and reporting is long, tedious, and at risk of errors when the reader's attention is disturbed. Artificial intelligence is expected to alleviate these limitations, by both improving diagnostic performances of capsule endoscopy while reducing reading time. Any patient in whom a capsule endoscopy examination is performed as part of routine care will be invited to participate to the study. Their de-identified images and videos will be extracted, thus allowing the creation of several databases for training, tuning and testing technological bricks of artificial intelligence. Basic clinical data will be collected (age, gender, indication for capsule endoscopy, type of device, ingestion or delivery of capsule). Images and videos will be characterized centrally and consensually by a panel of 3 expert readers, according to their level of relevance in relation to the type and indication of capsule endoscopy. The various, developed technological bricks will aim to automatically detect and characterize anatomical landmarks and abnormal findings, and to quote the intestine cleanliness. Assessment of diagnostic performance and reading time will be performed within a few months or up to five years, for each technological brick, individually and then combined, according to their stepwise development.

Conditions

Timeline

Start date
2023-02-10
Primary completion
2028-02-01
Completion
2028-02-01
First posted
2023-11-30
Last updated
2026-03-02

Locations

1 site across 1 country: France

Source: ClinicalTrials.gov record NCT06152289. Inclusion in this directory is not an endorsement.