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Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development
Journal article   Open access   Peer reviewed

Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development

Tyler Bradshaw, Ronald Boellaard, Joyita Dutta, Abhinav Jha, Paul Jacobs, Quanzheng Li, Chi Liu, Arkadiusz Sitek, Babak Saboury, Peter Scott, …
The Journal of nuclear medicine (1978), Vol.63(4), pp.jnumed.121.262567-510
11/05/2021
DOI: 10.2967/jnumed.121.262567
PMCID: PMC10949110
PMID: 34740952
url
https://doi.org/10.2967/jnumed.121.262567View
Published (Version of record) Open Access

Abstract

The nuclear medicine field has seen a rapid expansion of academic and commercial interests 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 for technical best practices for developing AI algorithms in nuclear medicine are provided, beginning with general recommendations followed by descriptions on 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.
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