EligibleTrials

Management of Pancreatic Cystic Lesions Using Artificial Intelligence Based on EUS and Multimodal Data

Recruiting · NCT07463872 · Observational (researchers observe without assigning treatment) · Lead sponsor: Huazhong University of Science and Technology

View the official record on ClinicalTrials.gov →
Pancreatic cancer

Interventions studied

Cyst-AI model

What this trial is about

The primary objective is to construct a multimodal AI model (Cyst-AI) based on EUS images and clinical data such as imaging features(CT or MRI) and laboratory tests to assist endoscopists in the diagnosis of pancreatic cystic lesions(PCLs), mainly differentiating mucinous from non-mucinous lesions. The secondary objective is to evaluate the model's effectiveness in risk stratification and clinical management for patients with PCLs.

Who can take part

Age range
18 Years and older
Sex
All (male and female)
Healthy volunteers
No - a diagnosis or condition is required
Phase
Not specified
Study type
Observational (researchers observe without assigning treatment)

Inclusion criteria

Exclusion criteria

Where it is running

2 locations listed.

Read the full protocol, contacts and eligibility on ClinicalTrials.gov →

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