The article "Radiomics: Images Are More than Pictures, They Are Data" by Robert J. Gillies, Paul E. Kinahan, and Hedvig Hricak discusses the growing field of medical image analysis, particularly radiomics, which involves converting medical images into mineable data for decision support. Radiomics is distinct from traditional image interpretation, as it extracts quantitative features from images, combining them with other patient data to develop models for improved diagnostic, prognostic, and predictive accuracy. The authors highlight the potential of radiomics in precision medicine, emphasizing its ability to capture tumor heterogeneity and improve clinical decision-making, especially in cancer care. They outline the process of radiomics, including image acquisition, volume identification, segmentation, feature extraction, and database building, while also addressing challenges such as reproducibility, big data management, and data sharing. The article concludes with a vision for the future of radiomics, emphasizing the need for standardized practices and multidisciplinary collaboration to realize its full potential.The article "Radiomics: Images Are More than Pictures, They Are Data" by Robert J. Gillies, Paul E. Kinahan, and Hedvig Hricak discusses the growing field of medical image analysis, particularly radiomics, which involves converting medical images into mineable data for decision support. Radiomics is distinct from traditional image interpretation, as it extracts quantitative features from images, combining them with other patient data to develop models for improved diagnostic, prognostic, and predictive accuracy. The authors highlight the potential of radiomics in precision medicine, emphasizing its ability to capture tumor heterogeneity and improve clinical decision-making, especially in cancer care. They outline the process of radiomics, including image acquisition, volume identification, segmentation, feature extraction, and database building, while also addressing challenges such as reproducibility, big data management, and data sharing. The article concludes with a vision for the future of radiomics, emphasizing the need for standardized practices and multidisciplinary collaboration to realize its full potential.