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 …
Needs, trends, and advances in scintillators for radiographic imaging and tomography
Z Wang, C Dujardin, MS Freeman… - … on Nuclear Science, 2023 - ieeexplore.ieee.org
Radiographic imaging and tomography (RadIT), which started with Röntgen's seminal X-ray
work in 1895, now includes an increasing number of IT modalities. In addition to the original …
work in 1895, now includes an increasing number of IT modalities. In addition to the original …
Evaluating large language models on a highly-specialized topic, radiation oncology physics
Purpose We present the first study to investigate Large Language Models (LLMs) in
answering radiation oncology physics questions. Because popular exams like AP Physics …
answering radiation oncology physics questions. Because popular exams like AP Physics …
The evolution of proton beam therapy: Current and future status
X Tian, K Liu, Y Hou, J Cheng… - … and clinical oncology, 2018 - spandidos-publications.com
Proton beam therapy (PBT) has been increasingly used in a variety of cancers due to its
excellent physical properties and superior dosimetric parameters. PBT may improve patient …
excellent physical properties and superior dosimetric parameters. PBT may improve patient …
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 …
Radonc-gpt: A large language model for radiation oncology
This paper presents RadOnc-GPT, a large language model specialized for radiation
oncology through advanced tuning methods. RadOnc-GPT was finetuned on a large dataset …
oncology through advanced tuning methods. RadOnc-GPT was finetuned on a large dataset …
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 …
Assessment of proton beam therapy use among patients with newly diagnosed cancer in the US, 2004-2018
Importance Proton beam therapy (PBT) is a potentially superior technology to photon
radiotherapy for tumors with complex anatomy, those surrounded by sensitive tissues, and …
radiotherapy for tumors with complex anatomy, those surrounded by sensitive tissues, and …
GPU‐accelerated Monte Carlo‐based online adaptive proton therapy: a feasibility study
H Feng, SH Patel, WW Wong, JE Younkin… - Medical …, 2022 - Wiley Online Library
Purpose To develop an online graphic processing unit (GPU)‐accelerated Monte Carlo‐
based adaptive radiation therapy (ART) workflow for pencil beam scanning (PBS) proton …
based adaptive radiation therapy (ART) workflow for pencil beam scanning (PBS) proton …
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 …