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Next-Generation Radiation Therapy and AI for Personalized Medicine: Varian Presents a Future Care Ecosystem

新世代智慧放療:新一代銳視刀與智慧癌症資訊系統支援癌症個人化治療新未來 - 優活健康網

December 11, 2025Varian

Summary

Varian showcased a comprehensive ecosystem for personalized cancer care, featuring next-generation linear accelerators (LINACs) and an intelligent cancer information system based on the FHIR international standard. This aims to streamline the entire process from diagnosis to treatment planning and execution, making it more efficient and patient-centric.

Details

At the Taiwan Medical Technology Exhibition, Varian unveiled a comprehensive solution for personalized cancer care, featuring next-generation LINACs and an intelligent cancer information system. Regarding hardware upgrades, the 'Next-Generation LINAC combined with Six-Dimensional Dynamic Treatment Bed' was introduced. This system detects even minute patient movements while allowing faster and safer positioning adjustments, improving efficiency and reducing patient anxiety. Furthermore, this evolution contributes to healthcare sustainability by optimizing power usage and lowering installation burdens. On the information system side, the intelligent cancer information system, which adopts the FHIR international standard, is a key feature. It allows for the real-time integration of various patient-related data—including imaging, medical orders, treatment plans, and execution records—on a single platform that was previously fragmented. This serves not merely as a database but as the foundation for AI and Cancer Decision Support Systems (CDS). By utilizing this structured data, it becomes possible to compare treatment responses across similar patient groups, monitor quality trends across different treatment cycles, and perform AI-driven data analysis, thereby laying the groundwork for building a 'Digital Twin' of the patient. Furthermore, in imaging technology, Varian aims to realize 'Adaptive Radiotherapy (ART)' by linking with Siemens photon-counting CT or MRI. This enables physicians to grasp real-time changes in tumors and normal tissues, allowing treatment plans to be dynamically adjusted based on the patient's condition on that day, significantly enhancing the clinical feasibility of personalized medicine.

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