Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence
of disruptive technical advances and impressive experimental results, notably in the field of …

Artificial intelligence (AI) refers to methods that improve and automate challenging human
tasks by systematically capturing and applying relevant knowledge in these tasks. Over the …

Purpose To investigate the effect of data quality and quantity on the performance of deep
learning (DL) models, for dose prediction of intensity-modulated radiotherapy (IMRT) of …

Purpose: Treatment planning for pancreas stereotactic body radiation therapy (SBRT) is a
difficult and time-consuming task. In this study, we aim to develop a novel deep learning …

Varian Ethos, a new treatment platform, is capable of automatically generating treatment
plans for initial planning and for online, adaptive planning, using an intelligent optimization …

Purpose Treatment planning for pancreas stereotactic body radiation therapy (SBRT) is a
challenging task, especially with simultaneous integrated boost treatment approaches. We …

Purpose To establish and evaluate a (quasi) real-time automated treatment planning (RTTP)
strategy utilizing a one-step full 3D fluence map prediction model based on a nonorthogonal …

Background Artificial intelligence (AI) shows great potential to streamline the treatment
planning process. However, its clinical adoption is slow due to the limited number of clinical …

Purpose The purpose of this study is to investigate the use of a deep learning architecture
for automated treatment planning for proton pencil beam scanning (PBS). Methods A 3 …

Purpose To evaluate the quality of fully automated stereotactic body radiation therapy
(SBRT) planning based on volumetric modulated arc therapy, which can reduce the reliance …