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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.
Afiliación
  • Visvikis D; LaTIM, INSERM, UMR 1101, University of Brest, Brest, France.
  • Lambin P; The D-Lab, Department of Precision Medicine, GROW - School for Oncology, Maastricht University Medical Center (MUMC +), Maastricht, The Netherlands.
  • Beuschau Mauridsen K; Department of Radiology and Nuclear Medicine, GROW - School for Oncology, Maastricht University Medical Center (MUMC +), Maastricht, The Netherlands.
  • Hustinx R; Center of Functionally Integrative Neuroscience and MindLab, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
  • Lassmann M; Department of Nuclear Medicine, University of Bern, Bern, Switzerland.
  • Rischpler C; GIGA-CRC in Vivo Imaging, University of Liège, GIGA, Avenue de l'Hôpital 11, 4000, Liege, Belgium.
  • Shi K; Klinik Und Poliklinik Für Nuklearmedizin, Universitätsklinikum Würzburg, Würzburg, Germany.
  • Pruim J; Department of Nuclear Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Eur J Nucl Med Mol Imaging ; 49(13): 4452-4463, 2022 11.
Article en En | MEDLINE | ID: mdl-35809090
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Medicina Nuclear Límite: Humans Idioma: En Revista: Eur J Nucl Med Mol Imaging Asunto de la revista: MEDICINA NUCLEAR Año: 2022 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Inteligencia Artificial / Medicina Nuclear Límite: Humans Idioma: En Revista: Eur J Nucl Med Mol Imaging Asunto de la revista: MEDICINA NUCLEAR Año: 2022 Tipo del documento: Article País de afiliación: Francia