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Clinical Trial

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

NCT: NCT07543263 · RECRUITING

NCT IDNCT07543263
StatusRECRUITING
Start Date2026-04-20
Completion2028-06-30
SponsorQilu Hospital of Shandong University (OTHER)
First posted
Last updated

Brief 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.

Official Source

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Data sourced from ClinicalTrials.gov API. For the most current status, refer to the official record.

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