Innovative AI-driven methodologies are increasingly advancing oncology diagnostics and prognostics. Researchers have employed XGBoost models to differentiate primary brain tumors from metastases, and developed OncoMet, a deep learning framework predicting esophageal cancer progression. Complementing these, imaging radiomics have been leveraged to forecast Hodgkin Lymphoma treatment responses, indicating a growing paradigm where computational intelligence augments traditional cancer care pathways.