In 2023, Li et al. [20] demonstrated that integrating a multi-sequence-based image fusion model of the primary tumor and lymph nodes resulted in an AUC of 0.91 for predicting p16 positivity. The gene discussed is CDKN2A; the disease is neoplasm.