@article{d29070afcaf641cbbfafb2b48fa8a14c,
title = "Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development",
abstract = "The nuclear medicine field has seen a rapid expansion of academic and commercial interest in developing artificial intelligence (AI) algorithms. Users and developers can avoid some of the pitfalls of AI by recognizing and following best practices in AI algorithm development. In this article, recommendations on technical best practices for developing AI algorithms in nuclear medicine are provided, beginning with general recommendations and then continuing with descriptions of how one might practice these principles for specific topics within nuclear medicine. This report was produced by the AI Task Force of the Society of Nuclear Medicine and Molecular Imaging.",
keywords = "Algorithm, Artificial intelligence, Best practices, Computer/PACS, Research methods, Statistics",
author = "Bradshaw, {Tyler J.} and Ronald Boellaard and Joyita Dutta and Jha, {Abhinav K.} and Paul Jacobs and Quanzheng Li and Chi Liu and Arkadiusz Sitek and Babak Saboury and Scott, {Peter J.H.} and Slomka, {Piotr J.} and Sunderland, {John J.} and Wahl, {Richard L.} and Fereshteh Yousefirizi and Sven Zuehlsdorff and Arman Rahmim and Ir{\`e}ne Buvat",
note = "Funding Information: Tyler Bradshaw receives research support from GE Healthcare. Ronald Boellaard is a scientific advisor (unpaid) for the EARL PET/CT accreditation program. Paul Jacobs is a full-time employee of MIM Software Inc. Sven Zuehlsdorff is a full-time employee of Siemens Medical Solutions USA, Inc. Piotr Slomka has a research grant from Siemens Medical Solutions, is a consultant for IBA, and receives royalties from Cedars-Sinai for nuclear cardiology software. No other potential conflict of interest relevant to this article was reported. Publisher Copyright: Copyright {\textcopyright} 2022 by the Society of Nuclear Medicine and Molecular Imaging.",
year = "2022",
month = apr,
day = "1",
doi = "10.2967/jnumed.121.262567",
language = "English",
volume = "63",
pages = "500--510",
journal = "Journal of Nuclear Medicine",
issn = "0161-5505",
number = "4",
}