Radiomics is a rapidly growing field in medical imaging that involves the extraction and analysis of a large amount of quantitative data from radiological images. These images can include MRI, CT, PET, and other types of imaging modalities. By analyzing these data using advanced computational techniques and machine learning algorithms, radiomics aims to uncover valuable information about tumor characteristics, treatment response, and patient outcomes. This can help in improving diagnosis, treatment planning, and monitoring of cancer and other diseases. Additionally, radiomics can also aid in personalized medicine by identifying specific biomarkers and predicting patient responses to different treatment options.