Developers and users of artificial-intelligence-based tools for automatic contouring and
treatment planning in radiotherapy are expected to assess clinical acceptability of these …

Image-guided radiotherapy (IGRT) enables optimal tumor targeting and sparing of organs-at-
risk, which ultimately results in improved outcomes for patients. Magnetic resonance …

Background Deep learning-based head and neck lymph node level (HN_LNL)
autodelineation is of high relevance to radiotherapy research and clinical treatment planning …

Purpose This study aimed to use deep learning–based dose prediction to assess head and
neck (HN) plan quality and identify suboptimal plans. Methods and Materials A total of 245 …

PURPOSE Automation, including the use of artificial intelligence, has been identified as a
possible opportunity to help reduce the gap in access and quality for radiotherapy and other …

This study aimed to investigate the feasibility of using a knowledge‐based planning
technique to detect poor quality VMAT plans for patients with head and neck cancer. We …

Background Accelerated partial breast irradiation (APBI) yields similar rates of recurrence
and cosmetic outcomes as compared to whole breast radiation therapy (RT) when patients …

Purpose To develop a checklist that improves the rate of error detection during the plan
review of automatically generated radiotherapy plans. Methods A custom checklist was …

Purpose To study the feasibility of optimizing the Clinical Target Volume to Planning Target
Volume (CTV-PTV) margin in prostate radiotherapy (RT) with a general-purpose linear …

PURPOSE Increased automation has been identified as one approach to improving global
cancer care. The Radiation Planning Assistant (RPA) is a web-based tool offering …