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Model Study on Cervical Cancer Screening Strategies and Risk Prediction

Cervical cancer screening study to improve risk prediction methods.

Recruiting
25-64 years
Female
Phase N/A

This study aims to improve how we screen for cervical cancer using advanced technology. By gathering non-picture medical data like age, HPV (a virus that can cause cervical cancer) status, and biopsy results from women in China, researchers want to make a smart system that can predict the risk of cervical cancer more accurately. They use AI or Artificial Intelligence, which is like teaching computers to think and learn, to help find patterns and make better predictions. The study will check how well this system works using data from different places in China.

  • Duration: This study involves collecting existing data, so no specific participation time is required.
  • Eligibility: Women aged 25-64 without a history of cervical issues can join, but pregnant women or those with certain health problems cannot.
  • No Treatment: This study uses data for research, so no medical treatment or procedures are involved.
Study details
    Cervical Cancer Screening
    Risk Assessment
    Artificial Intelligence
    Machine Learning

NCT06204133

Fujian Maternity and Child Health Hospital

24 January 2024

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