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.
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
The performance of the diagnostic model in differentiating mucinous from non-mucinous PCLs
Timeframe: Within 3 months upon completion of the diagnostic model training.
The risk stratification performance of the clinical management model for mucinous PCLs
Timeframe: Within 3 months upon completion of the risk stratification model training.