Prospective Evaluation of an Endoscopic Ultrasound (EUS)-Based Artificial Intelligence to Assist in the Deployment of Lumen Apposing Metal Stents for Gallbladder Drainage
NCT ID: NCT06981052
Last Updated: 2025-06-11
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
125 participants
OBSERVATIONAL
2025-05-12
2025-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Patients with gallbladders undergoing AI evaluation for stent deployment
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Anticipation that patient may undergo endoscopic ultrasound
* Gallbladder present
Exclusion Criteria
* No indication for endoscopic ultrasound
18 Years
ALL
Yes
Sponsors
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University of Massachusetts, Worcester
OTHER
Responsible Party
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Neil Marya
Assistant Clinical Professor of Medicine
Locations
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UMass Chan Medical School/Umass Memorial Health Care
Worcester, Massachusetts, United States
Countries
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Central Contacts
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Neil B Marya (Assistant Clinical Professor of Medicine), MD
Role: CONTACT
Facility Contacts
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Other Identifiers
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H00020934
Identifier Type: -
Identifier Source: org_study_id
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