Bone and Soft Tissue Tumors: Horizons in Radiomics and Artificial Intelligence.

Journal: Radiologic clinics of North America
Published Date: Mar 1, 2022

Abstract

AI can improve the quality of CT, MR and PET/CT images, while simultaneously reducing imaging time, and doses of radiation and contrast. AI can improve radiologist workflow and decrease interpretation times. AI may someday be capable of accurately locating, classifying and segmenting bone and soft tissue tumors. The goal of radiomics is to use radiomic and other biomarkers to achieve "precision medicine", ie, to predict the right diagnosis and the right treatment of the right patient at the right time. Radiomic information may be helpful in guiding biopsies, classifying and grading tumors and predicting prognosis and treatment response.

Authors

  • Michael L Richardson
    Department of Radiology, University of Washington, Seattle, WA. Electronic address: mrich@uw.edu.
  • Behrang Amini
    Department of Radiology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1475, Houston, TX 77030, USA.
  • Paul E Kinahan
    Department of Radiology and Bioengineering, University of Washington, Box 357987, Seattle, WA 98105, USA.

Keywords

External Resources

Popular Topics
Recent Journals