Recent advancements in artificial intelligence (AI) in the domain of radiation therapy (RT)
and their integration into modern software-based systems raise new challenges to the …

A high‐quality treatment plan aims to best achieve the clinical prescription, balancing high
target dose to maximise tumour control against sufficiently low organ‐at‐risk dose for …

Abstract Background and purpose Artificial Intelligence (AI) models in radiation therapy are
being developed with increasing pace. Despite this, the radiation therapy community has not …

Background Deep learning‐based auto‐planning is an active research field; however, for
some tasks a treatment planning system (TPS) is still required. Purpose To introduce a deep …

Simple Summary Dosiomics is born directly as an extension of radiomics: it entails extracting
features from the patients' three-dimensional (3D) radiotherapy dose distribution rather than …

Purpose Plan complexity and robustness are two essential aspects of treatment plan quality
but there is a great variability in their management in clinical practice. This study reports the …

Compared to conventional radiotherapy using X-rays, proton therapy, in principle, allows
better conformity of the dose distribution to target volumes, at the cost of greater sensitivity to …

Background The use of modulated techniques for intra‐cranial stereotactic radiosurgery
(SRS) results in highly modulated fields with small apertures, which may be susceptible to …

Purpose The study's purpose was to compare the performance of artificial intelligence (AI) in
auto-contouring compared with a human practitioner in terms of precision, differences in …

Background and purpose Clinical knowledge-based planning (KBP) models dedicated to
prostate radiotherapy treatment may require periodical updates to remain relevant and to …