Status: Recruiting
An Artificial Intelligence System for Multimodal, Multi-class Diagnosis of Pancreatic Cystic Lesions Based on Endoscopic Ultrasonography
The aim of this study is to develop and validate an artificial intelligence system named iEUS-PCL (intelligent endoscopic ultrasound system-pancreatic cystic lesions） for detecting and multimodal, multi-class diagnosing pancreatic cystic lesions (PCL) during endoscopic ultrasound (EUS) examination.
Participants needed: 176
Trial details
Age: 18+Biological sex: AllType: ObservationalSponsor: Qilu Hospital of Shandong UniversityUpdated: Aug 10, 2026Locations: 1
Eligibility criteria
Patients aged ≥18 years scheduled for EUS with suspected pancreatic cystic lesio... [+1]
Patients with absolute contraindications to EUS examination. [+6]