About the Special Issue

This special issue proposal focuses on the diverse applications of radiomics in precision medicine. Radiomics involves extracting quantitative features from radiological images to develop predictive models for diagnosis, treatment planning, and response assessment. The proposal invites submissions on various topics related to radiomics, including cancer diagnosis and treatment planning, biomarker discovery, precision medicine, drug development, and disease monitoring.

The special issue emphasizes the potential of radiomics to revolutionize clinical practice by providing a more personalized and targeted approach to disease management. For example, radiomics can identify subtle differences in tumor characteristics, improving treatment outcomes and reducing unnecessary treatments. Additionally, it can help identify imaging-based biomarkers for early detection, risk stratification, and treatment response assessment in various diseases, including cancer. 

Overall, we aim to provide a comprehensive overview of the recent advancements in radiomics and to promote interdisciplinary research and collaborations between researchers, medical imaging experts, and clinicians. By bringing together experts from diverse fields, this special issue will contribute to advancing the field of radiomics and improving patient outcomes.

Keywords: artificial intelligence, cancer diagnosis, clinical decision support system, feature extraction, medical imaging, precision medicine, predictive modeling, radiomics

Call for Papers