The document discusses recent advancements in linear accelerator technology for cancer treatment, highlighting developments such as the use of heavy particles, image guidance, and online adaptive radiotherapy. It details the evolution of treatment planning, inclusion of artificial intelligence in decision-making, and the emergence of MR-LINAC systems for enhanced precision in radiotherapy. Additionally, it reviews safety concerns, cost implications, and training requirements associated with these technologies, underscoring their potential to improve patient outcomes and treatment efficacy.