The Role of AI and Radiomics in Diagnostic 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: 31 October 2025
Special Issue Editors
Interests: PET/CT; radioligand therapy; oncohematology in nuclear medicine; neuroinflammation; prostate cancer; breast cancer and PET/CT
Interests: hybrid and molecular imaging; oncologic imaging; cardiovascular radiology; clinical imaging with X-ray; CT; MR; PET/CT; SPECT/CT; interventional diagnostic procedures
Special Issue Information
Dear Colleagues,
The imaging of pathophysiological processes began with the discovery of X-rays by Roentgen and radioactivity by Becquerel, along with the pioneering work of Marie Curie and Saul Hertz. These breakthroughs laid the foundations for modern radiology and nuclear medicine, ultimately leading to the emergence of a theranostics—a hybrid approach to disease management that integrates therapy and diagnostics. This discipline enables us to “treat what we see and see what we treat”. However, as Gillies stated in 2015, “images are data”, and the potential of these data, including those not perceptible to the human eye, is becoming increasingly significant.
Over the past decade, artificial intelligence (AI) has been incorporated into daily clinical practice, frequently surpassing human capabilities in diagnostic imaging and radiation-based therapies. AI can process vast quantities of data, and a transition toward human–AI collaboration is already underway, transforming multiple stages of our workflow, from image acquisition and interpretation to the delivery of personalized care.
This Special Issue explores the following fundamental questions: which AI tools in diagnostic oncology have already transformed our professional workflows, and are we ready to embrace the use of AI, guided by our clinical experience, ethical values, and existing regulatory frameworks?
Dr. Laura Travascio
Dr. Mario Leporace
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- pathophysiological
- radiology and nuclear medicine
- diagnostic imaging
- diagnostic oncology
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