University of San Francisco

Decoder large language models (LLMs) like ChatGPT and Claude show excellent text understanding in general domains but remain under-aligned to oncology-specific clinical context. This study aims to design and validate an alignment pipeline for decoder-based LL...

Current Gamma Knife (GK) planning typically decouples isocenter placement (heuristic-based) from sector duration optimization (SDO). This separation often leads to suboptimal plan quality and prolonged beam-on time (BOT). We propose an Integrated Isocenter an...