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RECRUITING
NCT07381192

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

Sponsor: Qilu Hospital of Shandong University

View on ClinicalTrials.gov

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.

Key Details

Gender

All

Age Range

18 Years - Any

Study Type

OBSERVATIONAL

Enrollment

383

Start Date

2025-09-01

Completion Date

2028-06-30

Last Updated

2026-02-02

Healthy Volunteers

Yes

Interventions

DEVICE

iEUS-SPL(intelligent endoscopic ultrasound system-pancreatic solid lesion)

The iEUS-SPL will automaticly detect solid pancreatic lesions and integrate the patients' endoscopic ultrasound images, endoscopic ultrasound features, clinical data and imaging features to perform a five-category classification for the lesions, categorizing them as pancreatic cancer, pancreatic neuroendocrine tumor, solid pseudopapillary tumor, autoimmune pancreatitis and chronic pancreatitis.

Locations (1)

Qilu Hospital of Shandong University

Jinan, Shandong, China