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Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development
The Journal of Nuclear Medicine ( IF 9.3 ) Pub Date : 2022-04-01 , DOI: 10.2967/jnumed.121.262567
Tyler J Bradshaw 1 , Ronald Boellaard 2 , Joyita Dutta 3 , Abhinav K Jha 4 , Paul Jacobs 5 , Quanzheng Li 6 , Chi Liu 7 , Arkadiusz Sitek 8 , Babak Saboury 9 , Peter J H Scott 10 , Piotr J Slomka 11 , John J Sunderland 12 , Richard L Wahl 13 , Fereshteh Yousefirizi 14 , Sven Zuehlsdorff 15 , Arman Rahmim 16 , Irène Buvat 17
Affiliation  

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.



中文翻译:

核医学和人工智能:算法开发的最佳实践

核医学领域对开发人工智能 (AI) 算法的学术和商业兴趣迅速扩大。用户和开发人员可以通过识别和遵循 AI 算法开发的最佳实践来避免 AI 的一些陷阱。在本文中,提供了有关在核医学中开发 AI 算法的技术最佳实践建议,从一般建议开始,然后继续描述如何在核医学中的特定主题中实践这些原则。本报告由核医学和分子成像学会 AI 工作组编写。

更新日期:2022-04-01
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