@article{014852658fa14054971faf1ca8caf025,
title = "Ethical Considerations for Artificial Intelligence in Medical Imaging: Deployment and Governance",
abstract = "The deployment of artificial intelligence (AI) has the potential to make nuclear medicine and medical imaging faster, cheaper, and both more effective and more accessible. This is possible, however, only if clinicians and patients feel that these AI medical devices (AIMDs) are trustworthy. Highlighting the need to ensure health justice by fairly distributing benefits and burdens while respecting individual patients{\textquoteright} rights, the AI Task Force of the Society of Nuclear Medicine and Molecular Imaging has identified 4 major ethical risks that arise during the deployment of AIMD: autonomy of patients and clinicians, transparency of clinical performance and limitations, fairness toward marginalized populations, and accountability of physicians and developers. We provide preliminary recommendations for governing these ethical risks to realize the promise of AIMD for patients and populations.",
keywords = "AI ethics, explainability, fairness, justice, software as medical device",
author = "Jonathan Herington and McCradden, {Melissa D.} and Kathleen Creel and Ronald Boellaard and Jones, {Elizabeth C.} and Jha, {Abhinav K.} and Arman Rahmim and Scott, {Peter J. H.} and Sunderland, {John J.} and Wahl, {Richard L.} and Sven Zuehlsdorff and Babak Saboury",
note = "Funding Information: Melissa McCradden acknowledges funding from the SickKids Foundation pertaining to her role as the John and Melinda Thompson Director of AI in Medicine at the Hospital for Sick Children. Abhinav Jha acknowledges support from NIH R01EB031051-02S1. Peter Scott also acknowledges support from the National Institutes of Health (R01EB021155). Sven Zuehlsdorff is a full-time employee of Siemens Medical Solutions USA, Inc. No other potential conflict of interest relevant to this article was reported. Publisher Copyright: COPYRIGHT {\textcopyright} 2023 by the Society of Nuclear Medicine and Molecular Imaging.",
year = "2023",
month = oct,
day = "1",
doi = "https://doi.org/10.2967/jnumed.123.266110",
language = "English",
volume = "64",
pages = "1509--1515",
journal = "Journal of nuclear medicine",
issn = "0161-5505",
publisher = "Society of Nuclear Medicine Inc.",
number = "10",
}