Radiation therapy is a complex process involving multiple professionals and steps from
simulation to treatment planning to delivery, and these procedures are prone to error …

The recent explosion in machine learning efforts in the quality assurance (QA) space has
produced a variety of proofs‐of‐concept many with promising results. Expected outcomes of …

Automation and artificial intelligence (AI) is already possible for many radiation therapy
planning and treatment processes with the aim of improving workflows and increasing …

(57) ABSTRACT A method, system and computer readable medium of: pro viding feature
data of at least one organ at risk or target volume of said patient from a database of non …

Methods and systems for evaluating a proposed treatment plan for radiation therapy, for
evaluating one or more delineated regions of interest for radiation therapy, and/or for …

Even with advanced inverse‐planning techniques, radiation treatment plan optimization
remains a very time‐consuming task with great output variability, which prompted the …

The goal of this work is to evaluate the effectiveness of Plan‐Checker Tool (PCT) which was
created to improve first‐time plan quality, reduce patient delays, increase the efficiency of …

Purpose Despite improvements in optimization and automation algorithms, the quality of
radiation treatment plans still varies dramatically. A tool that allows a priori estimation of the …

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

Abstract Recent developments in Radiation Oncology treatment planning have led to the
development of software packages that facilitate automated intensity-modulated radiation …