Related Experiment Video
Updated: Oct 1, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
Published on: August 16, 2020
Bone and Soft Tissue Tumors: Horizons in Radiomics and Artificial Intelligence
Michael L Richardson1, Behrang Amini2, Paul E Kinahan3
1Department of Radiology, University of Washington, 4245 Roosevelt Way NE, Seattle, WA 98105, USA.
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.
More Related Videos
12:23Multi-modal Imaging of Angiogenesis in a Nude Rat Model of Breast Cancer Bone Metastasis Using Magnetic Resonance Imaging, Volumetric Computed Tomography and Ultrasound
Published on: August 14, 2012
07:53Author Spotlight: Advancing 3D Modeling for Enhanced Diagnosis and Treatment of Pulmonary Nodules in Early-Stage Lung Cancer
Published on: October 13, 2023