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Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation.

Authors :
Visvikis, Dimitris
Lambin, Philippe
Beuschau Mauridsen, Kim
Hustinx, Roland
Lassmann, Michael
Rischpler, Christoph
Shi, Kuangyu
Pruim, Jan
Source :
European Journal of Nuclear Medicine & Molecular Imaging. Nov2022, Vol. 49 Issue 13, p4452-4463. 12p.
Publication Year :
2022

Abstract

Artificial intelligence (AI) will change the face of nuclear medicine and molecular imaging as it will in everyday life. In this review, we focus on the potential applications of AI in the field, both from a physical (radiomics, underlying statistics, image reconstruction and data analysis) and a clinical (neurology, cardiology, oncology) perspective. Challenges for transferability from research to clinical practice are being discussed as is the concept of explainable AI. Finally, we focus on the fields where challenges should be set out to introduce AI in the field of nuclear medicine and molecular imaging in a reliable manner. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16197070
Volume :
49
Issue :
13
Database :
Academic Search Index
Journal :
European Journal of Nuclear Medicine & Molecular Imaging
Publication Type :
Academic Journal
Accession number :
159866273
Full Text :
https://doi.org/10.1007/s00259-022-05891-w