Recent applications of artificial intelligence in radiotherapy: where we are and beyond

M Santoro, S Strolin, G Paolani, G Della Gala… - Applied Sciences, 2022‏ - mdpi.com
Featured Application Computational models based on artificial intelligence (AI) variants
have been developed and applied successfully in many areas, both inside and outside of …

Artificial intelligence for image registration in radiation oncology

J Teuwen, ZAR Gouw, JJ Sonke - Seminars in Radiation Oncology, 2022‏ - Elsevier
Automatic image registration plays an important role in many aspects of the radiation
oncology workflow ranging from treatment simulation, image guided and adaptive …

[HTML][HTML] MRI-only radiotherapy from an economic perspective: Can new techniques in prostate cancer treatment be cost saving?

E Persson, N Svanberg, J Scherman… - Clinical and …, 2023‏ - Elsevier
Abstract Background and Purpose The aim of this study was to analyze a magnetic
resonance imaging (MRI)-only radiotherapy workflow from an economic perspective in terms …

Deep learning in MRI‐guided radiation therapy: A systematic review

Z Eidex, Y Ding, J Wang, E Abouei… - Journal of Applied …, 2024‏ - Wiley Online Library
Recent advances in MRI‐guided radiation therapy (MRgRT) and deep learning techniques
encourage fully adaptive radiation therapy (ART), real‐time MRI monitoring, and the MRI …

End‐to‐end validation of fiducial tracking accuracy in robotic radiosurgery using MRI‐only simulation imaging

K Singhrao, M Zubair, T Nano, JE Scholey… - Medical …, 2024‏ - Wiley Online Library
Background Image‐guided radiation‐therapy (IGRT)‐based robotic radiosurgery using
magnetic resonance imaging (MRI)‐only simulation could allow for improved target …

Fiducial marker recovery and detection from severely truncated data in navigation‐assisted spine surgery

F Fan, B Kreher, H Keil, A Maier, Y Huang - Medical physics, 2022‏ - Wiley Online Library
Purpose Fiducial markers are commonly used in navigation‐assisted minimally invasive
spine surgery and they help transfer image coordinates into real‐world coordinates. In …

[HTML][HTML] Geometrical accuracy of magnetic resonance imaging for ocular proton therapy planning

L Klaassen, C Haasjes, M Hol, PC Lopes… - Physics and Imaging in …, 2024‏ - Elsevier
Background & purpose Magnetic resonance imaging (MRI) is increasingly used in treatment
preparation of ocular proton therapy, but its spatial accuracy might be limited by geometric …

[HTML][HTML] Artificial Intelligence Uncertainty Quantification in Radiotherapy Applications-A Sco** Review

KA Wahid, ZY Kaffey, DP Farris, L Humbert-Vidan… - medRxiv, 2024‏ - ncbi.nlm.nih.gov
Methods: We followed the PRISMA-ScR sco** review reporting guidelines. We utilized the
population (human cancer patients), concept (utilization of AI UQ), context (radiotherapy …

Embracing the Future of Clinical Trials in Radiotherapy: An NRG Oncology CIRO Technology Retreat Whitepaper on Pioneering Technologies and AI-Driven …

Y **ao, S Benedict, Y Cui, C Glide-Hurst… - International Journal of …, 2025‏ - Elsevier
This white paper examines the potential of pioneering technologies and artificial intelligence
(AI)-driven solutions in advancing clinical trials involving radiotherapy. As the field of …

Current landscape and potential future applications of artificial intelligence in medical physics and radiotherapy

WY Ip, FK Yeung, SPF Yung, HCJ Yu, TH So… - Artificial Intelligence in …, 2021‏ - hub.hku.hk
Artificial intelligence (AI) has seen tremendous growth over the past decade and stands to
disrupts the medical industry. In medicine, this has been applied in medical imaging and …