Artificial Intelligence in Radiation Oncology
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 62
Special Issue Editor
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) is transforming radiation oncology by enhancing treatment planning, image analysis, auto-segmentation, outcome prediction, and adaptive radiotherapy. This Special Issue aims to showcase the latest advancements in AI-driven technologies and their integration into clinical workflows, with a focus on improving precision, efficiency, and patient outcomes.
We invite original research articles and reviews on topics including, but not limited to:
- AI-driven treatment planning and optimization
- Deep learning and radiomics for image segmentation and tumor delineation
- AI-assisted adaptive radiotherapy and online re-planning
- AI applications in radiotherapy quality assurance and workflow automation
- Explainable and trustworthy AI in clinical decision-making
- AI-driven multi-modal data fusion for predictive modeling
- Ethical considerations and regulatory challenges of AI in radiation oncology
This Special Issue aims to bridge the gap between AI innovation and clinical application, providing a platform for interdisciplinary collaboration among researchers, medical physicists, radiation oncologists, and AI specialists. We welcome contributions that present novel methodologies, clinical validations, and perspectives on the future of AI in radiation oncology.
Dr. Xianjin Dai
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence in radiation therapy
- deep learning-based auto-segmentation
- AI-driven radiotherapy
- treatment planning
- adaptive radiation therapy with AI radiomics and machine learning for outcome prediction
- multi-modal image analysis in radiotherapy
- reinforcement learning for dose optimization uncertainty
- quantification in AI for radiation oncology
- trustworthy and explainable AI in cancer treatment
- AI-integrated radiotherapy
- workflow automation
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