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Management of Pancreatic Cystic Lesions Using Artificial Intelligence Based on EUS and Multimodal Data

Researching Pancreatic Cystic Lesions with Artificial Intelligence

Recruiting
18 years and older
All
Phase N/A
  • Simplified description (AI rewritten)
  • Technical description (Original)

This study investigates pancreatic cystic lesions. The purpose of this study is to use artificial intelligence (AI) to help doctors differentiate between mucinous and non-mucinous cystic lesions.

The study evaluates how well the AI model works in assessing risks and managing care for patients with these lesions.

  • Who can participate: Adults 18 and older with pancreatic cystic lesions indicated by EUS results can participate. Key factors include the presence of mucinous or non-mucinous lesions.
  • Study details: Participants will provide EUS imaging data, along with radiological and laboratory tests. The study will use this information to develop an AI model for diagnosis and management.
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Study details
    Pancreatic Cystic Lesion
    Mucinous Cystadenoma of Pancreas
    Intraductal Papillary Mucinous Neoplasm of Pancreas
    Pseudocyst Pancreas
    Serous Cystadenoma
    Neuroendocrine Tumors
    NET

NCT07463872

Huazhong University of Science and Technology

31 July 2026

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