Prospective Evaluation of an Endoscopic Ultrasound (EUS)-Based Artificial Intelligence to Assist in the Deployment of Lumen Apposing Metal Stents for Gallbladder Drainage
Status: Recruiting
Location: See location...
Study Type: Observational
SUMMARY
Lumen apposing metal stents are now being used to help patients who suffer from cholecystitis (infection of the gallbladder), especially in cases where patients are not candidates for surgery. Lumen apposing metal stents are effective for draining the gallbladder, however, placement is technically challenging. Scientists have developed an artificial intelligence to aid doctors in the deployment of these stents into the gallbladder. The aim of this study is test the performance of an artificial intelligence in providing physicians accurate information for gallbladder drainage.
Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: t
View:
• Age ≥ 18 years old
• Anticipation that patient may undergo endoscopic ultrasound
• Gallbladder present
Locations
United States
Massachusetts
UMass Chan Medical School/Umass Memorial Health Care
RECRUITING
Worcester
Contact Information
Primary
Neil B Marya (Assistant Clinical Professor of Medicine), MD
neil.marya@umassmed.edu
508-334-1000
Time Frame
Start Date: 2025-05-12
Estimated Completion Date: 2025-12-31
Participants
Target number of participants: 125
Treatments
Patients with gallbladders undergoing AI evaluation for stent deployment
Related Therapeutic Areas
Sponsors
Leads: University of Massachusetts, Worcester