Mass General Brigham is collaborating with GE HealthCare to develop generative AI for radiation oncology. The project targets unifying and expediting access to patient information dispersed across clinical notes, imaging studies, treatment plans, and multiple health IT systems. By applying genAI to summarize records, extract key data, and harmonize inputs for planning workflows, the effort aims to reduce manual data orchestration and enable oncologists to move more swiftly from diagnosis to treatment.
Why it matters: Integrating genAI into radiation therapy workflows could cut manual data tasks and accelerate patients’ entry into treatment, boosting throughput and consistency. The approach would require rigorous governance to safeguard privacy, validate outputs, and align with planning protocols. If successful, the collaboration could offer a scalable blueprint for AI-enabled care coordination across oncology and data-rich specialties.
