University of California San Diego

Stark global inequities persist in access to radiological health services, with low- and middle-income countries (LMICs) bearing an increasing cancer burden while facing critical shortages in trained medical physicists and radiation oncologists. Virtual educa...

Artificial intelligence holds significant promise for radiation oncology, yet clinical adoption is frequently stalled by the gap between conceptual understanding and practical implementation. This three-part educational track provides a start-to-finish playbo...

Cs-131 tile implant–based intracranial brachytherapy requires coordinated interdisciplinary efforts spanning imaging, source management, implantation, post-implant planning, and radiation safety. The extent of inter-institutional variability in these practice...

To develop a unified machine learning model which can predict the dose distribution for any disease site treated with VMAT. The model uses minimal inputs (CT dataset and structure contours) to rapidly output a clinically acceptable dose distribution deliverab...

Physics plan and chart review is one of the most effective QA processes to identify high-severity errors in radiotherapy treatments; mastering it is crucial for our residents. However, exposure to such errors during training is limited, making it challenging...

PEG dependence is widely considered a consequence of head and neck re-irradiation (HN re-RT), yet PEG persistence around treatment is frequently misinterpreted as durable swallowing toxicity. We introduce a time-anchored definition of persistent PEG dependenc...