Radiomics: Revolutionizing Cancer Care and Precision Medicine
*Corresponding Author:Received Date: Feb 03, 2025 / Published Date: Feb 28, 2025
Citation: Kapoor H (2025) Radiomics: Revolutionizing Cancer Care and Precision Medicine. J Radiol 14: 658.DOI: 10.4172/2167-7964.1000658
Copyright: © 2025 Harsh Kapoor This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Abstract
Radiomics, the extraction of quantitative features from medical images, is revolutionizing cancer research and clinical practice by offering non-invasive insights into tumor biology, treatment response, and patient outcomes. This technique aids in diagnosis, prognosis, and personalized treatment strategies for various cancers. Integration with deep learning enhances predictive accuracy, and correlations with genetic mutations are being explored for precision medicine. Standardization is essential for clinical adoption, and efforts are underway to translate radiomic tools from research to routine practice to improve cancer care. [1][2][3][4][5][6][7][8][9][10]
