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Model Study on Cervical Cancer Screening Strategies and Risk Prediction

Exploring new methods for cervical cancer screening and risk prediction.

Recruiting
25-64 years
Female
Phase N/A
  • Simplified description (AI rewritten)
  • Technical description (Original)

Cervical cancer screening helps find changes in the cervix that might lead to cancer. In this study, women in China are providing medical data like age, whether they have an HPV infection (a virus linked to cervical cancer), and results from tests like TCT (ThinPrep Cytologic Test) and colposcopy biopsy (a closer look at the cervix for any abnormal cells). This data helps create a computer model using artificial intelligence (AI), which learns to predict who might be at risk for cervical cancer. By comparing data from different areas, researchers check how well this model works.

  • Duration and Visits: No specified length or visits; just data collection.
  • Eligibility: Women aged 25-64, without a history of cervical cancer or surgery.
  • Exclusion: Pregnant, breastfeeding, or women with serious immune issues cannot join.
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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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