Clinical Trial: AI-Assisted Differentiation of Pancreatic Cystic Lesions Using EUS Images and Clinical Features

U.S., Nov. 6 -- ClinicalTrials.gov registry received information related to the study (NCT07919704) titled 'AI-Assisted Differentiation of Pancreatic Cystic Lesions Using EUS Images and Clinical Features' on Oct. 22.

Brief Summary: Pancreatic mucinous cystic neoplasms (MCNs), serous cystic neoplasms (SCNs), and pancreatic pseudocysts (PPCs) often exhibit overlapping imaging features on endoscopic ultrasound (EUS). However, these conditions require different clinical management strategies. Accurate differentiation is therefore important for appropriate treatment planning.

This study aims to develop and validate an artificial intelligence (AI) model that integrates EUS images and clinical features to differentiate MCNs, SCNs, and PPCs. The ...