Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development

Tyler Bradshaw

doi:10.2967/jnumed.121.262567

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Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development

2021-11-05

Fereshteh Yousefirizi

Sven Zuehlsdorff

Arman Rahmim

Irène Buvat

DOI：10.2967/jnumed.121.262567

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Abstract

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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:

computer

PACS

research methods

statistics

algorithm

artificial intelligence

best practices