Patricia E. Lindsay, PhD

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...

Treatment plan review is normally focused on ensuring the quality of individual plans. However, what begins as a routine treatment plan review can occasionally result in hard-earned lessons that lead to significant improvements in clinical practice -- lessons...

This work describes the development of a flexible educational framework designed to address required curriculum and professional competencies for Radiation Oncology (RO) and Medical Physics (MP) residents implemented in two distinct clinical and academic envi...

Professional

Artificial intelligence is increasingly being introduced into radiation therapy workflows, yet the path from procurement to clinical integration remains challenging. Formal guidance for clinical AI implementation is emerging but lags vendor introduction of th...

Custom software in the therapy context presents a serious question. Is it an essential component of operations and innovation or is it an accident waiting to happen? This session will tackle this question in a lively debate format. The questions explored here...

Therapy Physics

Prospective Hazard Analysis (PHA) plays an increasingly central role in modern radiation therapy, spurred by the formation and publication of AAPM Task Group 100 in 2016 [Huq MedPhys 2016]. TG 100 identified that many errors that occur in radiation oncology a...

Reference dosimetry forms the foundation of accurate dose delivery in radiation therapy. Two primary calibration protocols dominate clinical practice: AAPM’s TG-51, used throughout North America and select countries, and IAEA’s TRS-398, adopted widely across...