CareLit Fachartikel

Clinical Applications of Radiomics in Nuclear Medicine

Philipp Lohmann, Ralph Alexander Bundschuh, Isabelle Miederer, Felix M. Mottaghy, Karl Josef Langen, Norbert Galldiks · Nuklearmedizin - NuclearMedicine · 2023 · Heft 06 · S. 354-360

Dokument
886769
CareLit-ID
Jahr
2023
Publikation
PDF
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Metadaten
DOI
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Bibliografische Angaben

Zeitschrift
Nuklearmedizin - NuclearMedicine
Autor:innen
Philipp Lohmann, Ralph Alexander Bundschuh, Isabelle Miederer, Felix M. Mottaghy, Karl Josef Langen, Norbert Galldiks
Ausgabe
Heft 06 / 2023
Jahrgang 62
Seiten
354-360
Erschienen: 2023-12-01 00:00:00
ISSN
0029-5566

Zusammenfassung

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 clin…

Schlagworte

PET SPECT Artificial Intelligence (AI) Machine Learning Cancer Neurodegenerative Disease Cardiovascular Disease Thyroid Diseases Nuklearmedizin - NuclearMedicine