Manual image segmentation is a time-consuming task routinely performed in radiotherapy to
identify each patient's targets and anatomical structures. The efficacy and safety of the …

Advances in artificial intelligence-based methods have led to the development and
publication of numerous systems for auto-segmentation in radiotherapy. These systems …

The increasing complexity of modern radiation therapy planning and delivery challenges
traditional prescriptive quality management (QM) methods, such as many of those included …

Introduction Inter‐observer variability (IOV) in target volume and organ‐at‐risk (OAR)
delineation is a source of potential error in radiation therapy treatment. The aims of this study …

Background While the review of radiotherapy treatment plans and charts by a medical
physicist is a key component of safe, high‐quality care, very few specific recommendations …

Incident learning is a key component for maintaining safety and quality in healthcare. Its use
is well established and supported by professional society recommendations, regulations …

Purpose Peer review is a recommended component of quality assurance in radiation
oncology; however, it is resource-intensive and its effect on patient care is not well …

Abstract Purpose The Radiation Oncology Incident Learning System (RO-ILS) receives
event reports from facilities across the country. This effort extracted common error pathways …

Purpose Our department has a long-established comprehensive quality assurance (QA)
planning clinic for patients undergoing radiation therapy (RT) for head and neck cancer. Our …

Contouring of targets and normal tissues is one of the largest sources of variability in
radiation therapy treatment plans. Contours thus require a time intensive and error-prone …