Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem - Archive ouverte HAL Access content directly
Journal Articles Journal of Nuclear Medicine Year : 2023

Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem

Babak Saboury
  • Function : Author
Tyler Bradshaw
  • Function : Author
Ronald Boellaard
  • Function : Author
Joyita Dutta
  • Function : Author
Mathieu Hatt
  • Function : Author
Abhinav K Jha
  • Function : Author
Quanzheng Li
  • Function : Author
Chi Liu
  • Function : Author
Helena McMeekin
  • Function : Author
Michael A. Morris
  • Function : Author
Peter J.H. Scott
  • Function : Author
Eliot Siegel
  • Function : Author
John J. Sunderland
  • Function : Author
Neeta Pandit-Taskar
  • Function : Author
Richard L. Wahl
  • Function : Author
Sven Zuehlsdorff
  • Function : Author
Arman Rahmim
  • Function : Author

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.
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Dates and versions

hal-04306163 , version 1 (24-11-2023)

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Babak Saboury, Tyler Bradshaw, Ronald Boellaard, Irène Buvat, Joyita Dutta, et al.. Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem. Journal of Nuclear Medicine, 2023, 64 (2), pp.188-196. ⟨10.2967/jnumed.121.263703⟩. ⟨hal-04306163⟩

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