Radiation therapy (RT) is currently the main clinical treatment of tumors. Before treatment
initiation, precise delineation of the planned target volume (PTV) and organs at risk (OAR) is …

Automatic and accurate dose distribution prediction plays an important role in radiotherapy
plan. Although previous methods can provide promising performance, most methods did not …

Purpose This study aimed to use deep learning–based dose prediction to assess head and
neck (HN) plan quality and identify suboptimal plans. Methods and Materials A total of 245 …

Objective: Several studies have shown that dual-energy CT (DECT) can lead to improved
accuracy for proton range estimation. This study investigated the clinical benefit of reduced …

Purpose In this paper, we compare four novel knowledge‐based planning (KBP) algorithms
using deep learning to predict three‐dimensional (3D) dose distributions of head and neck …

Deep learning has been utilized in knowledge-based radiotherapy planning in which a
system trained with a set of clinically approved plans is employed to infer a three …

Background In recent years, with the development of artificial intelligence and deep learning
techniques, it has become possible to predict the three‐dimensional distribution dose (3D3) …

There is a huge problem and time-consuming computation to optimize the IMRT treatment
plan. Extracting the optimized plan from the predicted 3D3 so-called optimizing the KBP is …

Purpose Ethos proposes a template-based automatic dose planning (Etb) for online
adaptive radiotherapy. This study evaluates the general performance of Etb for prostate …

In this paper, the optimization of electrical energy consumption in the medical sector is
discussed from a new approach. One of the departments of the hospital that has a high …