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To evaluate the reasoning capabilities of large language models (LLMs) in performing root cause analysis (RCA) of radiation oncology incidents using narrative reports from the Radiation Oncology Incident Learning System (RO-ILS),...

Foundation models (FMs) have demonstrated strong performance on challenging radiation therapy tasks such as automatic delineation, deformable image registration, and multimodal visual question answering (VQA). However, they are t...

Radiochemistry modeling is pivotal for elucidating the spatiotemporal kinetics of reactive oxygen species and biological effects, particularly for emerging modalities like FLASH radiotherapy. However, conventional hybrid radioche...