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 …

The motivation for this study was to reduce physics workload relating to patient‐specific
quality assurance (QA). VMAT plan delivery accuracy was determined from analysis of pre …

Purpose A prospective phase 1/2 trial for electrophysiologic guided noninvasive cardiac
radioablation treatment of ventricular tachycardia (ENCORE-VT) demonstrating efficacy for …

Purpose Multileaf collimator (MLC) delivery discrepancy between planned and actual
(delivered) positions have detrimental effect on the accuracy of dose distributions for both …

Purpose Artificial intelligence applications in radiation oncology have been the focus of
study in the last decade. The introduction of automated and intelligent solutions for routine …

Purpose: The purpose of this study was 2‐fold. One purpose was to develop an automated,
streamlined quality assurance (QA) program for use by multiple centers. The second …

Purpose This multi-institution study assessed the positioning accuracy of multileaf
collimators (MLC) by analyzing log files. It determined the main machine parameters that …

Abstract Purpose To evaluate the Mobius second‐check dosimetry system by comparing it to
ionization‐chamber dose measurements collected in the recently released Mobius …

We demonstrate a virtual pretreatment patient‐specific QA (PSQA) procedure that is capable
of quantifying dosimetric effect on patient anatomy for both intensity modulated radiotherapy …