This study is looking at how well an artificial intelligence (AI) system can find problems in the pancreas during an endoscopic ultrasound (EUS) procedure. An EUS uses a special camera with an ultrasound on the end to look closely at organs like the pancreas. Doctors (endoscopists) already use EUS to diagnose conditions like pancreatic cancer. This study wants to see if the AI system can detect the same abnormalities that an endoscopist finds. The goal is to see if AI could help doctors interpret these images, potentially reducing errors and making it easier to learn how to use EUS. You can join if you are 18 years or older and are already having an EUS examination. The study will measure how many pancreatic abnormalities the AI detects within one day.

Study design

This is an observational study involving 310 participants. It is designed to compare what an AI system detects during an endoscopic ultrasound with what a doctor detects.

What's involved

You will undergo an endoscopic ultrasound procedure as planned. The study will then compare what the AI platform detects with what your doctor identifies during that procedure.

Compensation

Not stated in the trial record.

Follow-up

The primary endpoint, the rate of detection of pancreatic abnormalities by AI, is measured at 1 day.

AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.