GE HealthCare is exploring ways generative AI can improve radiation therapy workflows by embedding the technology directly into clinical processes. The company has formed a partnership with Mass General Brigham to create AI-driven tools designed to help oncologists process and evaluate patient data more effectively.
This initiative centers on merging structured clinical records with unstructured data, such as physician notes, imaging results, and treatment plans, into a single, cohesive system. The fragmentation of information forces clinicians to spend excessive time cross-referencing disparate sources, which slows care delivery.
Massachusetts General Hospital had previously achieved a reduction in the time between patient intake and the start of treatment, cutting it from 30 days to just eight days using GE HealthCare’s existing software. The proposed AI layer seeks to build on this progress by enabling clinicians to retrieve insights through natural-language queries instead of manual searches. This could further shrink treatment timelines while minimizing the risk of human oversight.
GE HealthCare’s strategy expands upon its current workflow unification software, but the AI component introduces a new capability: real-time, adaptive decision support. Sam Kandala, the company’s general manager for therapy guidance, emphasized that while AI could enhance both speed and treatment precision, its adoption will require careful alignment with regulatory standards. The balance between innovation and oversight remains a defining challenge for widespread implementation.
