research A machine learning approach for non-invasive PCOS diagnosis from ultrasound and clinical features
This study found that using XGBoost with clinical and ultrasound features may provide a highly accurate, non-invasive method for diagnosing polycystic ovary syndrome, although further validation is needed to ensure robustness.



