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Artificial Intelligence-based Early Screening of Pancreatic Cancer and High Risk Tracing (ESPRIT-AI)

Investigating Early Screening Methods for Pancreatic Cancer Using AI

Recruiting
50-75 years
All
Phase N/A
  • Simplified description (AI rewritten)
  • Technical description (Original)

This study investigates pancreatic cancer. The purpose of this study is to explore early detection methods for this condition using artificial intelligence.

The study evaluates the safety and effectiveness of identifying risk factors and biomarkers for early pancreatic cancer detection. It focuses on generating clinical data sets and collecting blood samples from high-risk individuals.

  • Who can participate: Individuals aged 18 years or older with new-onset diabetes, familial pancreatic cancer, or inherited syndromes linked to pancreatic cancer may participate. Participants must provide informed consent and complete a questionnaire.
  • Study details: Participants will undergo annual laboratory tests and imaging exams of the pancreas. A blood sample will be collected for DNA analysis.
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Study details
    Pancreatic Cancer
    Diabetes
    Familial Pancreatic Cancer
    Pancreatic Cystic Neoplasm
    Chronic Pancreatitis
    Hereditary Pancreatitis

NCT04743479

Changhai Hospital

8 April 2026

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