TY  - JOUR
AU  - Lohmann, Philipp
AU  - Bundschuh, Ralph Alexander
AU  - Miederer, Isabelle
AU  - Mottaghy, Felix M.
AU  - Langen, Karl Josef
AU  - Galldiks, Norbert
TI  - Clinical Applications of Radiomics in Nuclear Medicine
JO  - Nuklearmedizin
VL  - 62
IS  - 06
SN  - 0029-5566
CY  - Stuttgart
PB  - Thieme
M1  - FZJ-2023-04836
SP  - 354 - 360
PY  - 2023
AB  - 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.
LB  - PUB:(DE-HGF)16
C6  - 37935406
UR  - <Go to ISI:>//WOS:001100844500001
DO  - DOI:10.1055/a-2191-3271
UR  - https://juser.fz-juelich.de/record/1018477
ER  -