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

> **NCT07381192** · — · RECRUITING · sponsor: **Qilu Hospital of Shandong University** · enrollment: 383 (estimated)

## Conditions studied

- Endoscopic Ultrasound (EUS)
- Solid Pancreatic Lesion

## Interventions

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

## Key facts

- **NCT ID:** NCT07381192
- **Lead sponsor:** Qilu Hospital of Shandong University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** RECRUITING
- **Start date:** 2025-09-01
- **Primary completion:** 2028-06-30
- **Final completion:** 2028-06-30
- **Target enrollment:** 383 (ESTIMATED)
- **Last updated:** 2026-02-02

## Collaborators

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## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07381192

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07381192, "An Artificial Intelligence System for Multimodal, Multi-class Diagnosing Solid Pancreatic Lesions Based on Endoscopic Ultrasound". Retrieved via AI Analytics 2026-06-02 from https://api.ai-analytics.org/clinical/NCT07381192. Licensed CC0.

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*[Clinical trials dataset](/datasets/clinical-trials) · CC0 1.0*