Digital Twins in Neuro-Oncology: A Systematic Review of Current Implementations, Technical Strategies, and Clinical Applications
Abstract
In neuro-oncology, digital twins integrate imaging, computational modeling, and artificial intelligence to simulate tumor dynamics and guide personalized therapies, with strong predictive accuracy but limited validation, real-time use, and standardization.
Fields of Study & Subjects
Glioma Diagnosis and Treatment
Mathematical Biology Tumor Growth
Radiomics and Machine Learning in Medical Imaging
Publication details
- Journal / source
- Radiology Imaging Cancer
- Publisher
- Radiological Society of North America (RSNA)
- Volume
- 8
- Issue
- 2
- Pages
- e250567–e250567
- Publication date
- 1 March 2026
- Language
- EN