Artificial Intelligence in Endoscopic Ultrasound
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-100
SponsorOrlando Health, Inc.
About this trial
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.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Age ≥ 18 years
Any patient undergoing endoscopic ultrasound examination
Disqualifiers
Age < 18 years
Trial population
Any patient 18 years or over undergoing endoscopic ultrasound examination
Trial design
Design model
Cohort
Time perspective
Prospective
Treatments tested in this trial
Patients undergoing endoscopic ultrasound procedures
DevicePatients 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.
Treatment groups
310 Participants
are divided into 1 treatment groupGroup A: Patients undergoing endoscopic ultrasound procedures1 intervention
Trial outcomes
Primary outcomes
1
Rate of detection pancreatic abnormalities by AI
Ability of AI to detect pancreatic abnormalities as identified by an endoscopist during EUS examination of the pancreas.
Time frame
1 daySecondary outcomes
1
Rate of detection pancreatic solid mass lesions by AI
Ability of AI to detect pancreatic solid mass lesions as identified by an endoscopist during EUS examination of the pancreas.
Time frame
1 day2
Rate of detection pancreatic cystic lesions by AI
Ability of AI to detect pancreatic cystic lesions as identified by an endoscopist during EUS examination of the pancreas.
Time frame
1 daySponsors and contacts
Click on the lead sponsor to view all of their trials.
Source ClinicalTrials.gov