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Prospective Evaluation of an Endoscopic Ultrasound (EUS)-Based Artificial Intelligence to Assist in the Deployment of Lumen Apposing Metal 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

Recruiting
18 years and older
All
Phase N/A
  • Technical (Original)
  • Simplified (AI rewritten)

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Overview

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

Inclusion Criteria:

  • Age ≥ 18 years old
  • Anticipation that patient may undergo endoscopic ultrasound
  • Gallbladder present

Exclusion Criteria:

  • Cholecystectomy
  • No indication for endoscopic ultrasound

Study details
    Cholecystitis

NCT06981052

University of Massachusetts, Worcester

15 October 2025

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