Abstract

Radiomics has emerged as a transformative tool in oncology, leveraging advanced imaging techniques to extract quantifiable features from medical images. This approach enhances tumor characterization by providing detailed insights into tumor heterogeneity and microenvironment that are often invisible to the human eye. By translating complex imaging data into meaningful biomarkers, radiomics facilitates more precise and individualized treatment planning. This review explores the current advancements in radiomics, highlighting its role in improving tumor characterization and prognosis. We discuss the integration of radiomic features with clinical and genomic data to enhance predictive accuracy for treatment response and disease progression. Additionally, we address the challenges of radiomics, including standardization, reproducibility, and the need for robust validation across diverse populations. The future of radiomics in oncology holds promise for revolutionizing patient care by enabling more personalized and targeted therapeutic strategies.