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Radiotherapy planning is time‐intensive, iterative, and operator‐dependent. Locally deployed large language‐model agents may support planning automation while avoiding transmission of patient data to external model providers.
Large language model agents can adjust optimization parameters in a treatment planning system under natural-language instruction, but no study has tested a model post-trained for extended reasoning against a general-purpose model in stereotactic radiosurgery. We compared a reasoning-optimized model (QwQ-32B) with a...
Background. Patients with advanced non-small cell lung cancer (NSCLC) and high PD-L1 (>50%) expression show improved outcomes with immune checkpoint inhibitors compared to chemotherapy. We hypothesized that concurrent durvalumab and radiotherapy (RT) without concurrent chemotherapy would be safe and feasible in patient...
Manual organ‐at‐risk (OAR) delineation takes 20–40 min per case, a major bottleneck within the 50–90 min treatment window of abdominal MR‐guided adaptive radiotherapy (MRgRT). Most deep learning systems adopt single‐fraction approaches that discard valuable temporal context from prior treatment fractions.
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