Treatment planning is an essential step of the radiotherapy workflow. It has become more
sophisticated over the past couple of decades with the help of computer science, enabling …

Treatment planning plays an important role in the process of radiotherapy (RT). The quality
of the treatment plan directly and significantly affects patient treatment outcomes. In the past …

With the advancement of treatment modalities in radiation therapy for cancer patients,
outcomes have improved, but at the cost of increased treatment plan complexity and …

Purpose Intensity‐Modulated Radiation Therapy (IMRT), including its variations (including
IMRT, Volumetric Arc Therapy (VMAT), and Tomotherapy), is a widely used and critically …

Radiotherapy treatment planning of complex radiotherapy techniques, such as intensity
modulated radiotherapy and volumetric modulated arc therapy, is a resource-intensive …

Artificial intelligence (AI) is emerging as a technology with the power to transform
established industries, and with applications from automated manufacturing to advertising …

The goal of this study is to demonstrate the feasibility of a novel fully-convolutional
volumetric dose prediction neural network (DoseNet) and test its performance on a cohort of …

Purpose Automated and knowledge-based planning techniques aim to reduce variations in
plan quality. RapidPlan uses a library consisting of different patient plans to make a model …

Recent years have witnessed tremendous growth in the application of machine learning
(ML) and deep learning (DL) techniques in medical physics. Embracing the current big data …

The advantage of proton therapy as compared to photon therapy stems from the Bragg peak
effect, which allows protons to deposit most of their energy directly at the tumor while sparing …