Harnessing Artificial Intelligence for Early Detection of Ovarian Cancer: Development and Validation of a Predictive Risk Model

Highlight

  • A machine learning-based model predicted ovarian cancer risk within one year of screening with high accuracy.
  • The predictive model showed excellent discrimination (AUC >0.9), high specificity, and strong sensitivity in internal and external validation cohorts.
  • Integration of AI may significantly enhance early ovarian cancer detection and improve screening strategies.

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