Management of Pancreatic Cystic Lesions Using Artificial Intelligence Based on EUS and Multimodal Data

This study is using artificial intelligence to analyze ultrasound images (EUS — endoscopic ultrasound) of cysts in the pancreas to better classify whether they are dangerous or benign. The pancreas can develop fluid-filled sacs (cysts) that range from harmless to potentially cancerous, and this study aims to improve how accurately doctors can tell the difference. **You may be eligible if...** - You have had an endoscopic ultrasound (EUS) that detected a pancreatic cyst - Your cyst is a mucinous type (MCN or IPMN) or non-mucinous type (pseudocyst, serous, or cystic neuroendocrine tumor) **You may NOT be eligible if...** - You are under 18 years old - You have already had pancreatic surgery before the EUS - You have received chemotherapy or radiation for a pancreatic tumor before the EUS - Your cyst is a metastasis (spread) from another cancer - Your ultrasound images are missing or too poor quality for review Talk to your doctor to see if this trial is right for you.