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Trial Title:
Artificial Inteligence in Endoscopic Ultrasound
NCT ID:
NCT06564571
Condition:
Pancreatic Cancer
Pancreas Disease
Pancreatic Cyst
Conditions: Official terms:
Pancreatic Neoplasms
Pancreatic Cyst
Pancreatic Diseases
Conditions: Keywords:
pancreatic disease
pancreatic cancer
pancreatic cyst
artificial intelligence
Study type:
Observational
Overall status:
Recruiting
Study design:
Time perspective:
Prospective
Intervention:
Intervention type:
Device
Intervention name:
Patients undergoing endoscopic ultrasound procedures
Description:
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.
Arm group label:
Patients undergoing endoscopic ultrasound procedures
Summary:
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.
Criteria for eligibility:
Study pop:
Any patient 18 years or over undergoing endoscopic ultrasound examination
Sampling method:
Non-Probability Sample
Criteria:
Inclusion Criteria:
- Age ≥ 18 years
- Any patient undergoing endoscopic ultrasound examination
Exclusion Criteria:
- Age < 18 years
Gender:
All
Minimum age:
18 Years
Maximum age:
100 Years
Healthy volunteers:
No
Locations:
Facility:
Name:
Orlando Health
Address:
City:
Orlando
Zip:
32806
Country:
United States
Status:
Recruiting
Contact:
Last name:
Shyam Varadarajulu, MD
Phone:
321-841-2431
Email:
shyam.varadarajulu@orlandohealth.com
Contact backup:
Last name:
Barbara Broome
Phone:
321-841-4356
Email:
barbara.broome@orlandohealth.com
Start date:
January 19, 2024
Completion date:
December 2027
Lead sponsor:
Agency:
Orlando Health, Inc.
Agency class:
Other
Source:
Orlando Health, Inc.
Record processing date:
ClinicalTrials.gov processed this data on November 12, 2024
Source: ClinicalTrials.gov page:
https://clinicaltrials.gov/ct2/show/NCT06564571
