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

> **NCT07543263** · — · NOT_YET_RECRUITING · sponsor: **Qilu Hospital of Shandong University** · enrollment: 176 (estimated)

## Conditions studied

- Pancreatic Cystic Lesion (PCL)

## Interventions

- **DEVICE:** iEUS-PCL(intelligent endoscopic ultrasound system- pancreatic cystic lesion)

## Key facts

- **NCT ID:** NCT07543263
- **Lead sponsor:** Qilu Hospital of Shandong University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2026-04-20
- **Primary completion:** 2028-06-30
- **Final completion:** 2028-06-30
- **Target enrollment:** 176 (ESTIMATED)
- **Last updated:** 2026-04-29

## Collaborators

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## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07543263

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07543263, "An Artificial Intelligence System for Multimodal, Multi-class Diagnosis of Pancreatic Cystic Lesions Based on Endoscopic Ultrasonography". Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/clinical/NCT07543263. Licensed CC0.

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