Real-Time Cholangioscopy Artificial Intelligence Evaluation of Biliary Strictures
Purpose
The purpose of this study is to demonstrate the feasibility and validity of a previously developed peroral cholangioscopy (POC) convolutional neural network (CNN) to determine the etiology of biliary strictures when used in real-time.
Condition
- Biliary Stricture
Eligibility
- Eligible Ages
- Over 18 Years
- Eligible Sex
- All
- Accepts Healthy Volunteers
- No
Inclusion Criteria
- Age ≥ 18 years old - Anticipation that patient may undergo POC during an endoscopic retrograde cholangioscopy - Pregnant patients can be included in the study. Use of the POC-CNN does not convey any new risk to the patient nor fetus. - Non-English speaking subjects will be included in the study. Consent for the procedure itself is always done with the assistance of an interpreter via telephone or video. Use of the POC-CNN will be discussed with all patients via this interpreter during the procedure consent.
Exclusion Criteria
- Age <18 years old - No indication that cholangioscopy will be performed during endoscopic retrograde cholangiopancreatography (ERCP) - Prisoner
Study Design
- Phase
- Study Type
- Observational
- Observational Model
- Cohort
- Time Perspective
- Prospective
Arm Groups
| Arm | Description | Assigned Intervention |
|---|---|---|
| Patients undergoing cholangioscopy for evaluation biliary stricture |
Recruiting Locations
University of Massachusetts
Worcester, Massachusetts 01655
Worcester, Massachusetts 01655
More Details
- Status
- Recruiting
- Sponsor
- Mayo Clinic