TY - JOUR T1 - Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem JF - Journal of Nuclear Medicine JO - J Nucl Med SP - 188 LP - 196 DO - 10.2967/jnumed.121.263703 VL - 64 IS - 2 AU - Babak Saboury AU - Tyler Bradshaw AU - Ronald Boellaard AU - Irène Buvat AU - Joyita Dutta AU - Mathieu Hatt AU - Abhinav K. Jha AU - Quanzheng Li AU - Chi Liu AU - Helena McMeekin AU - Michael A. Morris AU - Peter J.H. Scott AU - Eliot Siegel AU - John J. Sunderland AU - Neeta Pandit-Taskar AU - Richard L. Wahl AU - Sven Zuehlsdorff AU - Arman Rahmim Y1 - 2023/02/01 UR - http://jnm.snmjournals.org/content/64/2/188.abstract N2 - 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. ER -