Clinical Trial

An Artificial Intelligence System for Multimodal, Multi-class Diagnosis of Pancreatic Cystic Lesions Based on Endoscopic Ultrasonography

Recruiting
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Summary
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.
Protocol Amendment History 1 change
critical Recruitment opened 2026-08-11
Trial Details
NCT Number NCT07543263
Lead Sponsor Qilu Hospital of Shandong University
Collaborators: Liaocheng People's Hospital, Taian City Central Hospital, Qilu Hospital of Shandong University (Qingdao), Binzhou People's Hospital, Shandong Provincial Hospital, The Affiliated Hospital of Qingdao University, Qianfoshan Hospital, Shengli Oilfield Hospital, Binzhou Medical University
Conditions Pancreatic Cystic Lesion (PCL)
Enrollment 176 participants
Start Date 2026-04-20
Primary Completion 2028-06-30 (estimated)
Study Completion 2028-06-30 (estimated)
Updated on ClinicalTrials.gov 2026-08-10