Diagnostic value of an interpretable machine learning model based on clinical ultrasound features for follicular thyroid carcinoma.

XGBoost model based on ultrasound features was constructed and interpreted using the SHAP method, providing evidence for the diagnosis of FTC and guidance for the personalized treatment of patients.