RT Journal Article
SR Electronic
T1 Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem
JF Journal of Nuclear Medicine
JO J Nucl Med
FD Society of Nuclear Medicine
SP 188
OP 196
DO 10.2967/jnumed.121.263703
VO 64
IS 2
A1 Babak Saboury
A1 Tyler Bradshaw
A1 Ronald Boellaard
A1 Irène Buvat
A1 Joyita Dutta
A1 Mathieu Hatt
A1 Abhinav K. Jha
A1 Quanzheng Li
A1 Chi Liu
A1 Helena McMeekin
A1 Michael A. Morris
A1 Peter J.H. Scott
A1 Eliot Siegel
A1 John J. Sunderland
A1 Neeta Pandit-Taskar
A1 Richard L. Wahl
A1 Sven Zuehlsdorff
A1 Arman Rahmim
YR 2023
UL http://jnm.snmjournals.org/content/64/2/188.abstract
AB 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.