Perspectives of the European Association of Nuclear Medicine on the role of artificial intelligence (AI) in molecular brain imaging.
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...
| Publicado en: | European Journal of Nuclear Medicine & Molecular Imaging Vol. 51; no. 4; pp. 1007 - 1012 |
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| Autores principales: | , , , , , , , , , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Mar2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=175566855&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 175566855 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 16197070 NPC jtl: European Journal of Nuclear Medicine & Molecular Imaging issn: 16197070 maglogo: N pubinfo: dt: Mar2024 vid: 51 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 175566855 174218266 10.1007/s00259-023-06553-1 175566855 ppf: 1007 ppct: 5 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Perspectives of the European Association of Nuclear Medicine on the role of artificial intelligence (AI) in molecular brain imaging. aug: au: 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 affil: Institute of Nuclear Medicine, University College London Hospitals, 5Th Floor UCH, 235 Euston Rd, NW1 2BU, London, UK sug: ab: 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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