Using AI to evaluate biliary strictures in real-time

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 assess the feasibility and validity of a convolutional neural network (CNN) designed for peroral cholangioscopy (POC) to identify the causes of biliary strictures during endoscopic procedures. The study will involve patients who are expected to undergo POC during endoscopic retrograde cholangiopancreatography (ERCP). By utilizing real-time AI analysis, the researchers hope to improve diagnostic accuracy and patient outcomes related to biliary strictures.

Why it matters

Who can join: the full rules

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

Where it's running

• University of Massachusetts
  Worcester, Massachusetts, United States Recruiting
• Mayo Clinic Minnesota
  Rochester, Minnesota, United States Recruiting

Study contacts

• Principal investigator: Vinay Chandrasekhara, MD — Mayo Clinic
• Study coordinator: Liz Lemke
• Email: lemke.elizabeth@mayo.edu
• Phone: 507-284-2511

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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.