Research Progress in Artificial Intelligence of Radiation Oncology: Diagnosis and Therapy
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Methods and Technologies Development".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 178
Special Issue Editor
Special Issue Information
Dear Colleagues,
Artificial intelligence is increasingly shaping how we approach cancer diagnosis and treatment, and radiation oncology is one of the areas where this change is especially evident. In recent years, advancements in deep learning, large vision-language models, radiomics, high-quality histopathological images and multimodal data integration have opened new possibilities for enhancing precision, efficiency and personalisation in cancer care.
At the same time, the field is still growing. Questions around clinical reliability, validation across diverse populations, interpretability, integration into routine workflows and ethical use remain highly relevant. It is therefore important to not only present technical advances but also examine how these tools can be translated into meaningful clinical benefits.
This Special Issue aims to bring together high-quality contributions that reflect the current progress of AI in radiation oncology, with particular focus on its role in diagnosis and therapy. We welcome original research and reviews that explore both methodological innovation and real-world application. By gathering work from researchers and clinicians across disciplines, we hope this issue will provide a valuable picture of the domain and encourage further discussion on its future direction.
Dr. Abadh Kishore Chaurasia
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence
- radiation oncology
- digital pathology
- biomarker prediction
- outcome prediction
- vision transformer
- foundation model
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