Clinical Trial

An Artificial Intelligence System for Multimodal, Multi-class Diagnosing Solid Pancreatic Lesions Based on Endoscopic Ultrasound

Name: An Artificial Intelligence System for Multimodal, Multi-class Diagnosing Solid Pancreatic Lesions Based on Endoscopic Ultrasound — clinical trial record (NCT07381192)
Creator: DataLookout
License: https://creativecommons.org/licenses/by/4.0/

Recruiting

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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.

Trial Details

NCT Number	NCT07381192
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	Endoscopic Ultrasound (EUS), Solid Pancreatic Lesion
Enrollment	383 participants
Start Date	2025-09-01
Primary Completion	2028-06-30 (estimated)
Study Completion	2028-06-30 (estimated)
Updated on ClinicalTrials.gov	2026-02-02