Images about adaptive radiotherapy planning, auto-contouring areas of interest, automated tumor segmentation in imaging, clinical trial matching, continuous learning from outcomes, cost-effective treatment strategies, enhanced communication tools for patients, guiding combination therapy selection, integrating imaging, pathology, and clinical data, integrating multi-omics data, machine learning-based radiomics, natural language processing of clinical notes, optimizing drug dosing and schedules, optimizing surgical planning, personalized treatment recommendations, predictive modeling of treatment response, quality assurance in treatment planning, risk stratification and prognostication, shortening time to treatment start, and virtual patient simulations.