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.
Imaging examinations (MRI, CT, B-ultrasound) show a solid mass in the pancreas, which requires endoscopic ultrasound guided-fine needle aspiration/biopsy (EUS-FNA/B) to clarify the nature of the lesion in patients.
Written consent provided
Age under 18 years old
Huazhong University of Science and Technology
Lead sponsor
Beijing Union Hosptial
Collaborator
Affiliated Drum Tower Hospital of Nanjing University Medical School
Collaborator
Shanghai Longhua Hospital
Collaborator
Beijing Friendship Hospital
Collaborator
Qilu Hospital of Shandong University
Collaborator
Sir Run Run Shaw Hospital
Collaborator