Artificial Intelligence in Endoscopic Ultrasound
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- The protocol lists: Patients undergoing endoscopic ultrasound procedures.
- Who it may be relevant to
- Registry conditions: Pancreatic Cancer, Pancreas Disease, Pancreatic Cyst. Basic parameters: 18 years — 100 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- United States
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Overview
The objective of the study is to determine if this artificial intelligence system is capable of detecting abnormalities in the pancreas that are identified by an endoscopist at endoscopic ultrasound procedures.
Detailed description
Endoscopic Ultrasound (EUS) is an equipment where an ultrasound transducer is attached to the tip of the endoscope. When advanced to the stomach the organs outside such as the pancreas and liver can be visualized in great detail. This enables diagnosis of conditions such as pancreatic cancer. However, an endoscopist must undergo training to accurately interpret these ultrasound images.
The investigators are in the process of developing an artificial intelligence system that could potentially interpret EUS images. The objective of the study is to determine if this artificial intelligence system is capable of detecting abnormalities in the pancreas that are identified by an endoscopist at endoscopic ultrasound procedures. Such correlation if established will lead to possible development of an artificial intelligence platform that can diagnose pancreatic diseases. Such development will potentially minimize human error and decrease learning curve to gain proficiency in EUS.
Interventions
- Device Patients undergoing endoscopic ultrasound procedures
Patients will undergo endoscopic ultrasound procedures as planned. Abnormalities in the pancreas identified by the endoscopist during the endoscopic ultrasound examination will be correlated against those detected by the AI platform.
Primary outcome measures
- Rate of detection pancreatic abnormalities by AI [Time frame: 1 day]
Secondary outcome measures (2)
- Rate of detection pancreatic solid mass lesions by AI [Time frame: 1 day]
- Rate of detection pancreatic cystic lesions by AI [Time frame: 1 day]
Eligibility criteria
Inclusion criteria
- Age ≥ 18 years
- Any patient undergoing endoscopic ultrasound examination
Exclusion criteria
- Age < 18 years
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
United States · 1 center
- Orlando Health — Orlando
Identifiers
NCT: NCT06564571 · 24.015.01