Development and validation of a machine learning model for predicting high-risk distant metastatic recurrence in differentiated thyroid cancer

We developed and validated an XGBoost-based machine learning model that accurately predicts high-risk distant metastatic recurrence in DTC patients. This model may help clinicians identify patients who could benefit from more aggressive treatment and intensive follow-up, enabling personalized management strategies.