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

Dimitris Visvikis, Philippe Lambin, Kim Beuschau Mauridsen, Roland Hustinx, Michael Lassmann, Christoph Rischpler, Kuangyu Shi, Jan Pruim*

*Corresponding author for this work

Research output: Contribution to journalReview articleAcademicpeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Number of pages12
JournalEuropean Journal of Nuclear Medicine and Molecular Imaging
DOIs
Publication statusE-pub ahead of print - 9-Jul-2022

Keywords

  • Artificial intelligence
  • Nuclear medicine
  • Molecular imaging
  • MYOCARDIAL-PERFUSION SPECT
  • DEEP NEURAL-NETWORK
  • RADIOMICS
  • IMAGES
  • REPRODUCIBILITY
  • MULTIMODALITY
  • INFORMATION
  • PREDICTION
  • DOSIMETRY
  • DISEASE

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