Using AI to help place stents for gallbladder drainage
Prospective Evaluation of an Endoscopic Ultrasound (EUS)-Based Artificial Intelligence to Assist in the Deployment of Lumen Apposing Metal Stents for Gallbladder Drainage
This study tests whether using artificial intelligence can help doctors place stents more accurately for patients with gallbladder issues who can't have surgery.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 125 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | University of Massachusetts, Worcester Academic / other |
| Locations | 1 site (Worcester, Massachusetts) |
| Trial ID | NCT06981052 on ClinicalTrials.gov |
What this trial studies
This study evaluates the use of artificial intelligence to assist physicians in the deployment of lumen apposing metal stents for patients suffering from cholecystitis, particularly those who are not surgical candidates. The AI aims to enhance the accuracy of stent placement during endoscopic ultrasound procedures. By improving the technical aspects of stent deployment, the study seeks to optimize gallbladder drainage and patient outcomes.
Who should consider this trial
Good fit: Ideal candidates for this study are adults aged 18 and older who are expected to undergo endoscopic ultrasound and have a gallbladder present.
Not a fit: Patients who have already undergone cholecystectomy or do not have an indication for endoscopic ultrasound may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could significantly improve the effectiveness and safety of gallbladder drainage procedures for patients with cholecystitis.
How similar studies have performed: While the use of AI in medical procedures is a growing field, this specific application for gallbladder drainage using lumen apposing metal stents is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Age ≥ 18 years old * Anticipation that patient may undergo endoscopic ultrasound * Gallbladder present Exclusion Criteria: * Cholecystectomy * No indication for endoscopic ultrasound
Where this trial is running
Worcester, Massachusetts
- UMass Chan Medical School/Umass Memorial Health Care — Worcester, Massachusetts, United States (Recruiting)
Study contacts
- Study coordinator: Neil B Marya (Assistant Clinical Professor of Medicine), MD
- Email: neil.marya@umassmed.edu
- Phone: 508-334-1000
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.