Artificial intelligence in nuclear medicine: Opportunities, challenges, and responsibilities toward a trustworthy ecosystem Review


Authors: Saboury, B.; Bradshaw, T.; Boellaard, R.; Buvat, I.; Dutta, J.; Hatt, M.; Jha, A. K.; Li, Q.; Liu, C.; McMeekin, H.; Morris, M. A.; Scott, P. J. H.; Siegel, E.; Sunderland, J. J.; Pandit-Taskar, N.; Wahl, R. L.; Zuehlsdorff, S.; Rahmim, A.
Review Title: Artificial intelligence in nuclear medicine: Opportunities, challenges, and responsibilities toward a trustworthy ecosystem
Abstract: Trustworthiness is a core tenet of medicine. The patient-physician relationship is evolving from a dyad to a broader ecosystem of health care. With the emergence of artificial intelligence (AI) in medicine, the elements of trust must be revisited. We envision a road map for the establishment of trustworthy AI ecosystems in nuclear medicine. In this report, AI is contextualized in the history of technologic revolutions. Opportunities for AI applications in nuclear medicine related to diagnosis, therapy, and workflow efficiency, as well as emerging challenges and critical responsibilities, are discussed. Establishing and maintaining leadership in AI require a concerted effort to promote the rational and safe deployment of this innovative technology by engaging patients, nuclear medicine physicians, scientists, technologists, and referring providers, among other stakeholders, while protecting our patients and society. This strategic plan was prepared by the AI task force of the Society of Nuclear Medicine and Molecular Imaging. © 2023 by the Society of Nuclear Medicine and Molecular Imaging.
Keywords: molecular imaging; artificial intelligence; scintiscanning; nuclear medicine; radionuclide imaging; ecosystem; humans; human; trustworthy
Journal Title: Journal of Nuclear Medicine
Volume: 64
Issue: 2
ISSN: 0161-5505
Publisher: Society of Nuclear Medicine  
Date Published: 2023-02-01
Start Page: 188
End Page: 196
Language: English
DOI: 10.2967/jnumed.121.263703
PUBMED: 36522184
PROVIDER: scopus
PMCID: PMC9902852
DOI/URL:
Notes: Article -- Export Date: 1 March 2023 -- Source: Scopus
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