Cholecystitis
Conditions
Brief 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.
Interventions
None listed
Sponsors
University of Massachusetts, Worcester
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Age ≥ 18 years old * Anticipation that patient may undergo endoscopic ultrasound * Gallbladder present
Exclusion criteria
* Cholecystectomy * No indication for endoscopic ultrasound
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Accuracy of the EUS AI system in providing a recommendation (i.e. whether it is safe or not to drain the gallbladder) | Day 1 | 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. |
Countries
United States
Outcome results
None listed