Aggregating large radiotherapy datasets for predictive modeling is impeded by inconsistent nomenclature. To address this, we developed a fully automated, metadata-independent framework to classify treatment plans into six Anatomi...
AAPM | COMP Joint Meeting · Vancouver · July 19-22
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To evaluate the efficacy of dynamic lattice structures in Gamma Kinfe (GK) Spatially Fractionated Radiation Therapy (SFRT) and compare their performance against traditional static lattice designs. Plans were assessed using Equiva...
Large, well-annotated databases are necessary for the development of personalized outcomes models. We evaluated the viability of using a Large Language Model (LLM) to extract patient-specific specific toxicity and progression out...
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