# Advancements in AI-driven radiotherapy technology > Live situation record from CLSTR: https://clstr.news/situations/advancements-in-ai-driven-radiotherapy-technology > Updated: 2026-09-28T02:18:42.000Z. Sources: 14. Developments: 2. Developments in radiotherapy technology have focused on integrating artificial intelligence and increased delivery speeds to improve cancer treatment precision. In Italy, the Fondazione Policlinico Universitario Campus Bio-Medico implemented the Adaptive Linac Ethos, an AI-powered linear accelerator. This technology allows for real-time recalibration of radiotherapy based on a patient’s anatomical changes and tumor evolution during irradiation. Concurrently, Siemens Healthineers introduced the Accela radiotherapy platform. Designed to enhance efficiency, the system uses NeoArc dynamic modulated arc therapy to optimize dose precision and speed. The platform features a high-speed gantry and AI-supported planning, capable of delivering certain stereotactic body radiation therapies in as little as 60 seconds. Accela is currently undergoing regulatory processes in the United States and is not yet commercially available. ## Timeline ### 2026-09-28: Siemens Healthineers unveils Accela radiotherapy platform Siemens Healthineers has introduced Accela, a high-speed radiotherapy platform capable of delivering certain cancer treatments in just 60 seconds using AI and advanced DMAT technology. 10 sources. https://clstr.news/cluster/siemens-healthineers-unveils-accela-cancer-treatment-system ### 2026-09-07: Campus Bio-Medico inaugurates AI-powered radiotherapy accelerator Campus Bio-Medico in Rome has launched the Adaptive Linac Ethos, an AI-powered radiotherapy accelerator that adjusts treatments in real time based on a patient's evolving condition. 4 sources. https://clstr.news/cluster/campus-bio-medico-inaugurates-ai-powered-radiotherapy-accelerator --- Cite as: Advancements in AI-driven radiotherapy technology. CLSTR, https://clstr.news/situations/advancements-in-ai-driven-radiotherapy-technology