TY - JOUR
T1 - Artificial Intelligence in Nuclear Medicine
T2 - Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem
AU - Saboury, Babak
AU - Bradshaw, Tyler
AU - Boellaard, Ronald
AU - Buvat, Irène
AU - Dutta, Joyita
AU - Hatt, Mathieu
AU - Jha, Abhinav K.
AU - Li, Quanzheng
AU - Liu, Chi
AU - McMeekin, Helena
AU - Morris, Michael A.
AU - Scott, Peter J. H.
AU - Siegel, Eliot
AU - Sunderland, John J.
AU - Pandit-Taskar, Neeta
AU - Wahl, Richard L.
AU - Zuehlsdorff, Sven
AU - Rahmim, Arman
N1 - Publisher Copyright: © 2023 by the Society of Nuclear Medicine and Molecular Imaging. Funding Information: The members of the Task Force wish to acknowledge Bonnie Clarke for her very valuable support of this project. We are grateful for the insightful comments of Dr. Roberto Maas-Moreno, particularly on the concept of theranostic digital twins (AI and radiopharmaceutical therapy). Publisher Copyright: © 2023 Society of Nuclear Medicine Inc.. All rights reserved.
PY - 2023/2/1
Y1 - 2023/2/1
N2 - Trustworthiness is a core tenet of medicine. The patient-physician relationship is evolving from a dyad to a broader ecosystem of healthcare. With the emergence of artificial intelligence (AI) in medicine, the elements of trust must be revisited. We envision a roadmap for the establishment of trustworthy AI ecosystems in nuclear medicine. In this report, AI is contextualized in the history of technological 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 requires a concerted effort to promote the rational and safe deployment of this innovative technology by engaging patients, nuclear medicine physicians, scientists, technologists, referring providers, among other stakeholders, while protecting our patients and society. This strategic plan is prepared by the AI Task Force of the Society of Nuclear Medicine and Molecular Imaging (SNMMI).
AB - Trustworthiness is a core tenet of medicine. The patient-physician relationship is evolving from a dyad to a broader ecosystem of healthcare. With the emergence of artificial intelligence (AI) in medicine, the elements of trust must be revisited. We envision a roadmap for the establishment of trustworthy AI ecosystems in nuclear medicine. In this report, AI is contextualized in the history of technological 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 requires a concerted effort to promote the rational and safe deployment of this innovative technology by engaging patients, nuclear medicine physicians, scientists, technologists, referring providers, among other stakeholders, while protecting our patients and society. This strategic plan is prepared by the AI Task Force of the Society of Nuclear Medicine and Molecular Imaging (SNMMI).
KW - Artificial intelligence
KW - Ecosystem
KW - Nuclear Medicine
KW - Trustworthy
UR - http://www.scopus.com/inward/record.url?scp=85147317860&partnerID=8YFLogxK
U2 - https://doi.org/10.2967/jnumed.121.263703
DO - https://doi.org/10.2967/jnumed.121.263703
M3 - Article
C2 - 36522184
SN - 1535-5667
VL - 64
SP - 188
EP - 196
JO - Journal of nuclear medicine : official publication, Society of Nuclear Medicine
JF - Journal of nuclear medicine : official publication, Society of Nuclear Medicine
IS - 2
ER -