Related Experiment Video
Updated: Jul 11, 2025

Guidelines and Experience Using Imaging Biomarker Explorer IBEX for Radiomics
Published on: January 8, 2018
Clinical Applications of Radiomics in Nuclear Medicine
Philipp Lohmann1, Ralph Alexander Bundschuh2, Isabelle Miederer3
1Institute of Neuroscience and Medicine (INM-3/-4), Forschungszentrum Jülich GmbH, Jülich, Germany.
Abstract:
Radiomics is an emerging field of artificial intelligence that focuses on the extraction and analysis of quantitative features such as intensity, shape, texture and spatial relationships from medical images. These features, often imperceptible to the human eye, can reveal complex patterns and biological insights. They can also be combined with clinical data to create predictive models using machine learning to improve disease characterization in nuclear medicine. This review article examines the current state of radiomics in nuclear medicine and shows its potential to improve patient care. Selected clinical applications for diseases such as cancer, neurodegenerative diseases, cardiovascular problems and thyroid diseases are examined. The article concludes with a brief classification in terms of future perspectives and strategies for linking research findings to clinical practice.
Related Concept Videos
Applications Of NMR In Biology
Radiological Investigation I: X-ray and CT
Imaging Studies II: Positron Emission Tomography and Scintigraphy
Fundamental Principles of PET
Positron Emission Tomography
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
Magnetic Resonance Imaging
X-ray Imaging

