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Nanotechnology in Radiation Oncology
Hematology/Oncology Clinics of North America, 2019 Nanotechnology has made remarkable contributions to clinical oncology. Nanotherapeutics and diagnostic tools have distinctive characteristics which allow them superior abilities to deliver therapeutics and imaging agents for radiation oncology. Compared to solid biopsies and imaging, the analysis of circulating tumor cells (CTCs) offers a more rapid ...
Andrew Z. Wang +3 more
openaire +3 more sources
Radiation Oncology, 2023 Background Setup reproducibility of the tissue in the proton beam path is critical in maintaining the planned clinical target volume (CTV) dose coverage and sparing the organs at risk (OAR).
Yixiu Kang +13 more
doaj +1 more source
NCI Workshop on Artificial Intelligence in Radiation Oncology: Training the Next Generation [PDF]
, 2019 Artificial intelligence (AI) is about to touch every aspect of radiotherapy from consultation, treatment planning, quality assurance, therapy delivery, to outcomes modeling. There is an urgent need to train radiation oncologists and medical physicists in data science to help shepherd AI solutions into clinical practice.
arxiv +1 more source
Harnessing Automation in Data Mining: A Review on the Impact of PyESAPI in Radiation Oncology Data Extraction and Management [PDF]
arXiv, 2023 Data extraction and management are crucial components of research and clinical workflows in Radiation Oncology (RO), where accurate and comprehensive data are imperative to inform treatment planning and delivery. The advent of automated data mining scripts, particularly using the Python Environment for Scripting APIs (PyESAPI), has been a promising ...
arxiv
Molecular Oncology, EarlyView.Breast tumor samples scored for metabolic deregulation (M1 to M3) were given a hypoxia score (HS). The highest HS occurred in patients with strongest metabolic deregulation (M3), supporting tumor aggressiveness. HS correlated with the highest number of metabolic pathways in M1. This suggests hypoxia to be an early event in metabolic deregulation.
Raefa Abou Khouzam +2 more
wiley +1 more source
BMC Cancer, 2018 Background To evaluate the efficacy and safety of stereotactic body radiation therapy (SBRT) in patients with small hepatocellular carcinoma(sHCC) who were ineligible for surgery or ablation therapies.
Tao Zhang +6 more
doaj +1 more source
Image guidance in radiation therapy for better cure of cancer
Molecular Oncology, 2020 The key goal and main challenge of radiation therapy is the elimination of tumors without any concurring damages of the surrounding healthy tissues and organs.
Vincent Grégoire +10 more
doaj +1 more source
Exploring the Capabilities and Limitations of Large Language Models for Radiation Oncology Decision Support [PDF]
International Journal of Radiation Oncology, Biology, Physics.
2024 Mar 15;118(4):900-4Thanks to the rapidly evolving integration of LLMs into decision-support tools, a significant transformation is happening across large-scale systems. Like other medical fields, the use of LLMs such as GPT-4 is gaining increasing interest in radiation oncology as well.
arxiv +1 more source
An Introduction to Natural Language Processing Techniques and Framework for Clinical Implementation in Radiation Oncology [PDF]
arXiv, 2023 Natural Language Processing (NLP) is a key technique for developing Medical Artificial Intelligence (AI) systems that leverage Electronic Health Record (EHR) data to build diagnostic and prognostic models. NLP enables the conversion of unstructured clinical text into structured data that can be fed into AI algorithms.
arxiv
A Radiation Oncology Based Electronic Health Record in an Integrated Radiation Oncology Network [PDF]
, 2017 Purpose: The goal of this ongoing project is to develop and integrate a comprehensive electronic health record (EHR) throughout a multi-facility radiation oncology network to facilitate more efficient workflow and improve overall patient care and safety.
Billy, Richard +9 more
core +3 more sources