Modulated radiotherapy with multileaf collimators is widely used to improve target conformity
and normal tissue sparing. This introduced an additional degree of complexity, studied by …

Background and purpose The use of cone beam computed tomography (CBCT) for
performing dose calculations in radiation therapy has been widely investigated as it could …

Simple Summary Stereotactic radiotherapy (SRT) has become widely accepted as a
treatment of choice for patients with a small number of brain metastases that are of an …

Patient-specific quality assurance (QA) for Volumetric Modulated Arc Therapy (VMAT) plans
is routinely performed in the clinical. However, it is labor-intensive and time-consuming for …

Purpose We sought to develop machine learning models to predict the results of patient‐
specific quality assurance (QA) for volumetric modulated arc therapy (VMAT), which were …

Three-dimensional printing technology has the advantage of facilitating the construction of
complex three-dimensional shapes. For this reason, it is widely used in medical and …

Abstract Machine learning (ML) methods have been implemented in radiotherapy to aid
virtual specific-plan verification protocols, predicting gamma passing rates (GPR) based on …

Abstract Deep Learning Automated Patient-Specific Quality Assurance (PSQA) aims to
reduce clinical resource requirements. It is vital to ensure the safety and effectiveness of …

Objective. The gamma index (γ) has been extensively investigated in the medical physics
and applied in clinical practice. However, γ has a significant limitation when used to …

Qualified medical physicists (QMPs) are in a unique position to influence the creation and
application of key performance indicators (KPIs) across diverse practices in health care …