Deep learning enhanced MRI radiomics in predicting pathological response of head and neck squamous carcinoma to neoadjuvant chemoimmunotherapy: a retrospective analysis

In conclusion, deep-learning features from MRI can augment traditional imaging analysis to uncover hidden predictive patterns reflecting responsiveness to NACI in HNSCC patients, and integration of different data types provides a more robust prediction strategy.