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
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This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.