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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients with gallbladders undergoing AI evaluation for stent deployment |
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| Measure | Description | Time Frame |
|---|---|---|
| Accuracy of the EUS AI system in providing a recommendation (i.e. whether it is safe or not to drain the gallbladder) | An expert endoscopist will perform the endoscopic ultrasound procedure. When the gallbladder comes into view the expert will comment as to whether they believe that the gallbladder is safe to drain. The expert will be blinded to the AI computers interpretation of the view of the gallbladder. A second observer will record what the AI recommended at the time of the blinded expert. The expert will be considered the "gold standard" and the outcome will be accuracy of the AI in mimicking the experts recommendations. | Day 1 |
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Inclusion Criteria:
Exclusion Criteria:
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Patients undergoing endoscopic ultrasound who have a gallbladder present
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| UMass Chan Medical School/Umass Memorial Health Care | Worcester | Massachusetts | 01655 | United States |
Other researchers can reach out to UMass Chan to obtain deidentified data on a case-by-case basis.
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| ID | Term |
|---|---|
| D002764 | Cholecystitis |
| ID | Term |
|---|---|
| D005705 | Gallbladder Diseases |
| D001660 | Biliary Tract Diseases |
| D004066 | Digestive System Diseases |
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