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

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 cl...

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Autores principales: Visvikis, Dimitris, Lambin, Philippe, Beuschau Mauridsen, Kim, Hustinx, Roland, Lassmann, Michael, Rischpler, Christoph, Shi, Kuangyu, Pruim, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606092/
https://www.ncbi.nlm.nih.gov/pubmed/35809090
http://dx.doi.org/10.1007/s00259-022-05891-w
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author Visvikis, Dimitris
Lambin, Philippe
Beuschau Mauridsen, Kim
Hustinx, Roland
Lassmann, Michael
Rischpler, Christoph
Shi, Kuangyu
Pruim, Jan
author_facet Visvikis, Dimitris
Lambin, Philippe
Beuschau Mauridsen, Kim
Hustinx, Roland
Lassmann, Michael
Rischpler, Christoph
Shi, Kuangyu
Pruim, Jan
author_sort Visvikis, Dimitris
collection PubMed
description 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.
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spelling pubmed-96060922022-10-28 Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation Visvikis, Dimitris Lambin, Philippe Beuschau Mauridsen, Kim Hustinx, Roland Lassmann, Michael Rischpler, Christoph Shi, Kuangyu Pruim, Jan Eur J Nucl Med Mol Imaging Review Article 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. Springer Berlin Heidelberg 2022-07-09 2022 /pmc/articles/PMC9606092/ /pubmed/35809090 http://dx.doi.org/10.1007/s00259-022-05891-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Article
Visvikis, Dimitris
Lambin, Philippe
Beuschau Mauridsen, Kim
Hustinx, Roland
Lassmann, Michael
Rischpler, Christoph
Shi, Kuangyu
Pruim, Jan
Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation
title Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation
title_full Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation
title_fullStr Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation
title_full_unstemmed Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation
title_short Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation
title_sort application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606092/
https://www.ncbi.nlm.nih.gov/pubmed/35809090
http://dx.doi.org/10.1007/s00259-022-05891-w
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