Autoimmune Pancreatitis

This ambispective observational study aims to validate the Odesa Criteria 2026 (OC26), a flexible domain-based point scoring system for diagnosing autoimmune pancreatitis. The study evaluates diagnostic accuracy and reproducibility of OC26 across clinical, serological, morphological, and histological domains.

This clinical trial aims to learn if a multimodal artificial intelligence (AI) model can enhance the diagnosis of pancreatic solid lesions. The main questions it aims to answer are: 1. Does the AI model enhance the diagnostic performance of endoscopists in diagnosing pancreatic solid lesions? 2. Does the addition of interpretability analysis further improve the diagnostic performance of the assisted endoscopists? Researchers will compare the diagnostic performance of endoscopists with or without the assistance of the AI model. Participants will: 1. Their clinical data will be prospectively collected. 2. They will be randomized to the AI-assist group and the conventional diagnosis group.