Vision Transformers in Radiology: Architecture, Applications, and Clinical Performance
Abstract
Vision Transformers (ViT) represent a paradigm shift in medical image analysis, applying the revolutionary attention mechanism from natural language processing to radiological imaging. This comprehensive review examines the theoretical foundations, architectural innovations, and clinical applications of Vision Transformers across radiology subspecialties including chest radiography, computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET).
Fields of Study & Subjects
Artificial Intelligence in Healthcare and Education
Radiomics and Machine Learning in Medical Imaging
COVID-19 diagnosis using AI
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 17 February 2026
- Language
- EN
- Document type
- Preprint