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Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development

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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Contributor : Irène Buvat Connect in order to contact the contributor
Submitted on : Monday, November 22, 2021 - 4:24:45 PM
Last modification on : Wednesday, April 13, 2022 - 3:44:16 AM
Long-term archiving on: : Wednesday, February 23, 2022 - 8:13:04 PM


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Tyler J Bradshaw, Ronald Boellaard, Joyita Dutta, Abhinav K Jha, Paul Jacobs, et al.. Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development. Journal of Nuclear Medicine, Society of Nuclear Medicine, 2021, pp.jnumed.121.262567. ⟨10.2967/jnumed.121.262567⟩. ⟨inserm-03441110⟩



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