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Perspectives of the European Association of Nuclear Medicine on the role of artificial intelligence (AI) in molecular brain imaging.

Authors :
Fraioli, Francesco
Albert, Nathalie
Boellaard, Ronald
Galazzo, Ilaria Boscolo
Brendel, Matthias
Buvat, Irene
Castellaro, Marco
Cecchin, Diego
Fernandez, Pablo Aguiar
Guedj, Eric
Hammers, Alexander
Kaplar, Zoltan
Morbelli, Silvia
Papp, Laszlo
Shi, Kuangyu
Tolboom, Nelleke
Traub-Weidinger, Tatjana
Verger, Antoine
Van Weehaeghe, Donatienne
Yakushev, Igor
Source :
European Journal of Nuclear Medicine & Molecular Imaging. Mar2024, Vol. 51 Issue 4, p1007-1011. 5p.
Publication Year :
2024

Abstract

The article discusses the perspectives of the European Association of Nuclear Medicine on the role of artificial intelligence (AI) in molecular brain imaging. The authors highlight the potential of AI in advancing research and clinical practice in the field of molecular brain imaging. They emphasize the need for standardization of clinical brain image recording and imaging protocols, as well as the importance of annotated images and additional data for feeding AI algorithms. The article also explores the applications of AI in image acquisition, segmentation and registration, interpretability analysis, and specific clinical areas such as epilepsy, neurodegenerative and movement disorders, neuro-oncology, and psychiatric disorders. The authors acknowledge the challenges and limitations in implementing AI in these areas, including the need for large datasets, validation studies, and harmonization of AI algorithms. Overall, the article provides a comprehensive overview of the current state and future potential of AI in molecular brain imaging. [Extracted from the article]

Details

Language :
English
ISSN :
16197070
Volume :
51
Issue :
4
Database :
Academic Search Index
Journal :
European Journal of Nuclear Medicine & Molecular Imaging
Publication Type :
Academic Journal
Accession number :
175566855
Full Text :
https://doi.org/10.1007/s00259-023-06553-1