An Artificial Intelligence System for Multimodal, Multi-class Diagnosing Solid Pancreatic Lesions Based on Endoscopic Ultrasound
- Age
- 18 and older
- Sex
- Any
- Study type
- Observational
- Participants needed
- 383 (estimated)
- Sponsor
- Qilu Hospital of Shandong University · Other
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Check Your EligibilityThe 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.
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