Machine learning-based clinical-radiomics model for predicting recurrence risk after radical surgery in sinonasal squamous cell carcinoma: a preliminary 2-year follow-up study

The present study developed an ML-based clinical-radiomics model that exhibited promising performance for predicting recurrence risk after radical surgery in SNSCC. Given its preliminary nature, this model has the potential to serve as an intelligent decision support tool, advancing precision medicine in SNSCC management.