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Title: Editorial : Artificial intelligence in radiology and radiation oncology
Authors: Ng, CKC
Leung, VWS 
Issue Date: 2025
Source: Frontiers in radiology, 2025, v. 5, 1657119
Keywords: Artificial intelligence
Computer-aided detection
Deep learning
Image synthesis
Medical imaging
Radiation oncology
Radiology
Radiomics
Publisher: Frontiers Media SA
Journal: Frontiers in radiology 
EISSN: 2673-8740
DOI: 10.3389/fradi.2025.1657119
Rights: © 2025 Ng and Leung. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
The following publication Ng CKC and Leung VWS (2025) Editorial: Artificial intelligence in radiology and radiation oncology. Front. Radiol. 5:1657119 is available at https://doi.org/10.3389/fradi.2025.1657119.
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