Visvikis, Dimitris; Lambin, Philippe; Beuschau Mauridsen, Kim; Hustinx, Roland; Lassmann, Michael; Rischpler, Christoph; Shi, Kuangyu; Pruim, Jan (2022). Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation. European journal of nuclear medicine and molecular imaging, 49(13), pp. 4452-4463. Springer 10.1007/s00259-022-05891-w
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Visvikis2022_Article_ApplicationOfArtificialIntelli.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (669kB) | Preview |
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.
Item Type: |
Journal Article (Review Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Clinic of Nuclear Medicine |
UniBE Contributor: |
Shi, Kuangyu |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
1619-7089 |
Publisher: |
Springer |
Language: |
English |
Submitter: |
Pubmed Import |
Date Deposited: |
11 Jul 2022 08:38 |
Last Modified: |
05 Dec 2022 16:21 |
Publisher DOI: |
10.1007/s00259-022-05891-w |
PubMed ID: |
35809090 |
Uncontrolled Keywords: |
Artificial intelligence Molecular imaging Nuclear medicine |
BORIS DOI: |
10.48350/171207 |
URI: |
https://boris.unibe.ch/id/eprint/171207 |
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