Artificial general intelligence for radiation oncology
The emergence of artificial general intelligence (AGI) is transforming radiation oncology. As
prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can …
prominent vanguards of AGI, large language models (LLMs) such as GPT-4 and PaLM 2 can …
Proton versus photon radiation therapy: A clinical review
Z Chen, MM Dominello, MC Joiner… - Frontiers in …, 2023 - frontiersin.org
While proton radiation therapy offers substantially better dose distribution characteristics
than photon radiation therapy in certain clinical applications, data demonstrating a …
than photon radiation therapy in certain clinical applications, data demonstrating a …
Deep‐learning based fast and accurate 3D CT deformable image registration in lung cancer
Abstract Background Deformable Image Registration (DIR) is an essential technique
required in many applications of radiation oncology. However, conventional DIR …
required in many applications of radiation oncology. However, conventional DIR …
Proton beam therapy reduces the risk of severe radiation-induced lymphopenia during chemoradiotherapy for locally advanced non-small cell lung cancer: A …
N Kim, JM Noh, W Lee, B Park, H Park, JY Park… - Radiotherapy and …, 2021 - Elsevier
Hypothesis We investigated differences in severe radiation-induced lymphopenia (SRL)
after pencil beam scanning proton therapy (PBSPT) or intensity-modulated (photon) …
after pencil beam scanning proton therapy (PBSPT) or intensity-modulated (photon) …
Beam mask and sliding window‐facilitated deep learning‐based accurate and efficient dose prediction for pencil beam scanning proton therapy
Background Accurate and efficient dose calculation is essential for on‐line adaptive
planning in proton therapy. Deep learning (DL) has shown promising dose prediction results …
planning in proton therapy. Deep learning (DL) has shown promising dose prediction results …
Intensity‐modulated proton therapy (IMPT) interplay effect evaluation of asymmetric breathing with simultaneous uncertainty considerations in patients with non‐small …
Purpose Intensity‐modulated proton therapy (IMPT) is sensitive to uncertainties from patient
setup and proton beam range, as well as interplay effect. In addition, respiratory motion may …
setup and proton beam range, as well as interplay effect. In addition, respiratory motion may …
Exploratory study of seed spots analysis to characterize dose and linear‐energy‐transfer effect in adverse event initialization of pencil‐beam‐scanning proton therapy
Y Yang, SH Patel, J Bridhikitti, WW Wong… - Medical …, 2022 - Wiley Online Library
Background Both dose and linear energy transfer (LET) could play a substantial role in
adverse event (AE) initialization of cancer patients treated with pencil‐beam‐scanning …
adverse event (AE) initialization of cancer patients treated with pencil‐beam‐scanning …
Benchmarking a foundation large language model on its ability to relabel structure names in accordance with the american association of physicists in medicine task …
Purpose To introduce the concept of using large language models (LLMs) to relabel
structure names in accordance with the American Association of Physicists in Medicine Task …
structure names in accordance with the American Association of Physicists in Medicine Task …
Fast Monte Carlo dose calculation in proton therapy
This article examines the critical role of fast Monte Carlo (MC) dose calculations in
advancing proton therapy techniques, particularly in the context of increasing treatment …
advancing proton therapy techniques, particularly in the context of increasing treatment …
Modelling small block aperture in an in-house developed GPU-accelerated Monte Carlo-based dose engine for pencil beam scanning proton therapy
Purpose. To enhance an in-house graphic-processing-unit accelerated virtual particle (VP)-
based Monte Carlo (MC) proton dose engine (VPMC) to model aperture blocks in both dose …
based Monte Carlo (MC) proton dose engine (VPMC) to model aperture blocks in both dose …