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 …

Artificial intelligence and machine learning in prostate cancer patient management—current trends and future perspectives

OS Tătaru, MD Vartolomei, JJ Rassweiler, O Virgil… - Diagnostics, 2021 - mdpi.com
Artificial intelligence (AI) is the field of computer science that aims to build smart devices
performing tasks that currently require human intelligence. Through machine learning (ML) …

Benchmarking ChatGPT-4 on a radiation oncology in-training exam and Red Journal Gray Zone cases: potentials and challenges for ai-assisted medical education …

Y Huang, A Gomaa, S Semrau, M Haderlein… - Frontiers in …, 2023 - frontiersin.org
Purpose The potential of large language models in medicine for education and decision-
making purposes has been demonstrated as they have achieved decent scores on medical …

[HTML][HTML] Machine learning applications in radiation oncology

M Field, N Hardcastle, M Jameson, N Aherne… - Physics and Imaging in …, 2021 - Elsevier
Abstract Machine learning technology has a growing impact on radiation oncology with an
increasing presence in research and industry. The prevalence of diverse data including 3D …

Knowledge‐based radiation treatment planning: a data‐driven method survey

S Momin, Y Fu, Y Lei, J Roper… - Journal of applied …, 2021 - Wiley Online Library
This paper surveys the data‐driven dose prediction methods investigated for knowledge‐
based planning (KBP) in the last decade. These methods were classified into two major …

Assessment of efficacy in automated plan generation for Varian Ethos intelligent optimization engine

S Pokharel, A Pacheco, S Tanner - Journal of Applied Clinical …, 2022 - Wiley Online Library
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 …

Benchmarking ChatGPT-4 on ACR radiation oncology in-training (TXIT) exam and red journal gray zone cases: Potentials and challenges for AI-assisted medical …

Y Huang, A Gomaa, S Semrau, M Haderlein… - arXiv preprint arXiv …, 2023 - arxiv.org
The potential of large language models in medicine for education and decision making
purposes has been demonstrated as they achieve decent scores on medical exams such as …

Data-driven dose calculation algorithm based on deep U-Net

J Fan, L Xing, P Dong, J Wang, W Hu… - Physics in Medicine & …, 2020 - iopscience.iop.org
Accurate and efficient dose calculation is an important prerequisite to ensure the success of
radiation therapy. However, all the dose calculation algorithms commonly used in current …

Millisecond speed deep learning based proton dose calculation with Monte Carlo accuracy

O Pastor-Serrano, Z Perkó - Physics in Medicine & Biology, 2022 - iopscience.iop.org
Objective. Next generation online and real-time adaptive radiotherapy workflows require
precise particle transport simulations in sub-second times, which is unfeasible with current …

Advances in automated treatment planning

D Nguyen, MH Lin, D Sher, W Lu, X Jia… - Seminars in radiation …, 2022 - Elsevier
Treatment planning in radiation therapy has progressed enormously over the past several
decades. Such advancements came in the form of innovative hardware and algorithms …