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An Artificial Intelligence System for Multimodal, Multi-class Diagnosing Solid Pancreatic Lesions Based on Endoscopic Ultrasound
Sponsor: Qilu Hospital of Shandong University
Summary
The aim of this study is to validate an artificial intelligence system named iEUS-SPL(intelligent endoscopic ultrasound system-solid pancreatic lesion) for detecting and multimodal, multi-class diagnosing solid pancreatic lesions during endoscopic ultrasound(EUS) examination.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
383
Start Date
2025-09-01
Completion Date
2028-06-30
Last Updated
2026-02-02
Healthy Volunteers
Yes
Interventions
iEUS-SPL(intelligent endoscopic ultrasound system-pancreatic solid lesion)
The iEUS-SPL will automaticly detect solid pancreatic lesions and integrate the patients' endoscopic ultrasound images, endoscopic ultrasound features, clinical data and imaging features to perform a five-category classification for the lesions, categorizing them as pancreatic cancer, pancreatic neuroendocrine tumor, solid pseudopapillary tumor, autoimmune pancreatitis and chronic pancreatitis.
Locations (1)
Qilu Hospital of Shandong University
Jinan, Shandong, China