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.

Study Background