Artificial intelligence in radiation oncology

E Huynh, A Hosny, C Guthier, DS Bitterman… - Nature Reviews …, 2020‏ - nature.com
Artificial intelligence (AI) has the potential to fundamentally alter the way medicine is
practised. AI platforms excel in recognizing complex patterns in medical data and provide a …

[HTML][HTML] Overview of artificial intelligence-based applications in radiotherapy: Recommendations for implementation and quality assurance

L Vandewinckele, M Claessens, A Dinkla… - Radiotherapy and …, 2020‏ - Elsevier
Artificial Intelligence (AI) is currently being introduced into different domains, including
medicine. Specifically in radiation oncology, machine learning models allow automation and …

Textgrad: Automatic" differentiation" via text

M Yuksekgonul, F Bianchi, J Boen, S Liu… - arxiv preprint arxiv …, 2024‏ - arxiv.org
AI is undergoing a paradigm shift, with breakthroughs achieved by systems orchestrating
multiple large language models (LLMs) and other complex components. As a result …

Adaptive radiotherapy for anatomical changes

JJ Sonke, M Aznar, C Rasch - Seminars in radiation oncology, 2019‏ - Elsevier
The anatomy of cancer patients changes between radiation treatment planning and delivery
as well as over the course of radiotherapy. Adaptive radiotherapy (ART) aims to deliver …

Artificial intelligence in radiotherapy treatment planning: present and future

C Wang, X Zhu, JC Hong… - Technology in cancer …, 2019‏ - journals.sagepub.com
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 …

[HTML][HTML] What is plan quality in radiotherapy? The importance of evaluating dose metrics, complexity, and robustness of treatment plans

V Hernandez, CR Hansen, L Widesott, A Bäck… - Radiotherapy and …, 2020‏ - Elsevier
Plan evaluation is a key step in the radiotherapy treatment workflow. Central to this step is
the assessment of treatment plan quality. Hence, it is important to agree on what we mean …

A review on application of deep learning algorithms in external beam radiotherapy automated treatment planning

M Wang, Q Zhang, S Lam, J Cai, R Yang - Frontiers in oncology, 2020‏ - frontiersin.org
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 …

Artificial Intelligence in magnetic Resonance guided Radiotherapy: Medical and physical considerations on state of art and future perspectives

D Cusumano, L Boldrini, J Dhont, C Fiorino, O Green… - Physica medica, 2021‏ - Elsevier
Over the last years, technological innovation in Radiotherapy (RT) led to the introduction of
Magnetic Resonance-guided RT (MRgRT) systems. Due to the higher soft tissue contrast …

[HTML][HTML] Radiotherapy Treatment plannINg study Guidelines (RATING): A framework for setting up and reporting on scientific treatment planning studies

CR Hansen, W Crijns, M Hussein, L Rossi… - Radiotherapy and …, 2020‏ - Elsevier
Radiotherapy treatment planning studies significantly contribute to advances and
improvements in radiation treatment of cancer patients. They are a pivotal step to support …

Complexity metrics for IMRT and VMAT plans: a review of current literature and applications

S Chiavassa, I Bessieres, M Edouard… - The British journal of …, 2019‏ - academic.oup.com
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 …