Imaging and Radiation Research

Big Data in Radiation Oncology

Submission deadline: 2024-04-30
Section Editors

Section Collection Information

Dear Colleagues,


Radiation oncology is a rapidly evolving field that has seen significant advancements in recent years, particularly in the area of data collection and analysis. The use of big data in radiation oncology has the potential to revolutionize the way we approach cancer treatment by enabling us to better understand patient outcomes, optimize treatment plans, and improve the overall quality of care. Therefore, providing a comprehensive overview of the current state of big data in radiation oncology is important for identifying key areas for future research and development.


This section collection aims to explore the latest developments in big data analytics in radiation oncology, including the use of machine learning algorithms, predictive modeling, and data visualization tools. We welcome submissions from researchers, clinicians, and industry experts, covering a range of topics such as data collection and management, clinical decision support systems, and patient outcomes analysis.


We invite original articles or reviews highlighting big data in radiation oncology to be submitted to this collection.


Big Data; Radiation Oncology; Machine Learning; Predictive Modeling; Data Visualization; Clinical Decision Support Systems; Patient Outcomes; Bioinformatic Analysis; Meta-Analysis; Multi-omics Analysis

Published Paper