Machine learning use in early ovarian cancer detection

This review highlights the effectiveness of various ML algorithms, including support vector machines, random forests, and XGBoost, in achieving high diagnostic accuracy and the need for future research focused on refining existing models, exploring deep learning techniques, and incorporating multi-omics data.