Radiomics, the high-throughput mining of quantitative image features from standard-of-care medical imaging that enables data to be extracted and applied to modern medicine to improve diagnostic, prognostic, and predictive accuracy, is gaining importance in clinical imaging.

To improve the precision of diagnosis and treatment and facilitate the process of detection and analysis, researchers have been committed to the study of clinical imaging. Nowadays, the rapid development of radiomics and validation of medical imaging data that uses image-based signatures for precision diagnosis and treatment provide a powerful tool in modern medicine.

This Special Issue aims to provide a forum to update and discuss new discoveries, challenges, opportunities in the field of radiomics in clinical imaging. Both original research and review articles are welcomed, and studies should focus on major trends and challenges in this field.

Potential topics include but are not limited to the following:

• The development process of radiomics
• Radiomics applied to clinical decision making
• Imaging diagnosis or prognosis of diseases
• Medical image reconstruction
• Cellular image analysis