| Literature DB >> 35809090 |
Dimitris Visvikis1, Philippe Lambin2,3, Kim Beuschau Mauridsen4,5, Roland Hustinx6, Michael Lassmann7, Christoph Rischpler8, Kuangyu Shi5,9, Jan Pruim10.
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.Entities:
Keywords: Artificial intelligence; Molecular imaging; Nuclear medicine
Year: 2022 PMID: 35809090 DOI: 10.1007/s00259-022-05891-w
Source DB: PubMed Journal: Eur J Nucl Med Mol Imaging ISSN: 1619-7070 Impact factor: 9.236