Artificial Inteligence in Endoscopic Ultrasound

Orlando Health, Inc.

Status: Enrolling

Conditions: Pancreatic Cyst; Pancreas Disease; Pancreatic Cancer

Treatments: Device: Patients undergoing endoscopic ultrasound procedures

Study type: Observational

Funder types: Other

Identifiers

NCT06564571

24.015.01

Details and patient eligibility

About

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.

Full 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.

Enrollment: 1,500 estimated patients

Sex: All

Ages: 18 to 100 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Age ≥ 18 years
• Any patient undergoing endoscopic ultrasound examination

Exclusion criteria

• Age < 18 years

Trial design

1,500 participants in 1 patient group

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.

Treatment:

Device: Patients undergoing endoscopic ultrasound procedures