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.
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AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Rate of correct diagnostic classification with assistance of the Joint-AI Model
Timeframe: Through study completion, an average of 1 year
Rate of correct diagnostic classification with assistance of the Interpretable Joint-AI Model
Timeframe: Through study completion, an average of 1 year