Status: Recruiting
Management of Pancreatic Cystic Lesions Using Artificial Intelligence Based on EUS and Multimodal Data
The primary objective is to construct a multimodal AI model (Cyst-AI) based on EUS images and clinical data such as imaging features(CT or MRI) and laboratory tests to assist endoscopists in the diagnosis of pancreatic cystic lesions(PCLs), mainly differentiating mucinous from non-mucinous lesions. The secondary objective is to evaluate the model's effectiveness in risk stratification and clinical management for patients with PCLs.
Participants needed: 500
Trial details
Age: 18+Biological sex: AllType: ObservationalSponsor: Huazhong University of Science and TechnologyUpdated: Mar 11, 2026Locations: 2
Eligibility criteria
Patients whose EUS results indicates pancreatic cystic or cystoid lesions; [+2]
Patients whose age is less than 18 years old; [+6]