Recent advances in artificial intelligence have produced models capable of improving diagnosis and outcome prediction in oncology. This includes an AI platform for early pancreatic cancer detection and a radiomics-based multi-model machine learning system predicting muscle-invasive bladder cancer prognosis using CT imaging. Further, AI is being integrated into digital pathology and molecular profiling to accelerate personalized medicine and clinical trial insight generation across cancer types.