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Health Technologies:

AI-Driven Precision Planning: Real-Time Decision Support for MRI-Guided Adaptive Radiotherapy

Jie Deng, M.D.

  • Professor, Department of Radiation Oncology

The MAIA Lab

Every year, millions of cancer patients receive radiation treatment guided by outdated static plans that cannot adapt as the tumor or body changes. Dr. Jie Deng’s AI engine brings intelligence directly into the treatment room, analyzing MRI scans in real time and instantly recommending precise dose adjustments tailored to each patient. The software compresses a 10-day planning process into a same-day decision, ensuring faster, safer, and more consistent care across hospitals. Built on one of the world’s largest adaptive radiotherapy datasets (>18,000 cases at UTSW), it is vendor-neutral and ready to integrate with existing Elekta, Varian, or RayStation systeM.S.. This platform represents the future of adaptive oncology where radiotherapy learns from every patient and improves with every treatment.

Stage 3: Testing and Validation