● Recruiting

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

Condition: Endoscopic Ultrasound (EUS) · Solid Pancreatic Lesion · Sponsor: Qilu Hospital of Shandong University

PhaseN/A

Planned participants383

Who can joinAll sexes, 18 Years to no upper limit

Healthy volunteersYes

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

Zhen Li · 18560086106 · qilulizhen@sdu.edu.cn

Always discuss trial participation with your own doctor first.

Locations (1)

Qilu Hospital of Shandong University

Jinan, Shandong, China

Recruiting

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Source record: clinicaltrials.gov/study/NCT07381192