核医学与人工智能：算法开发的最佳实践。
Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development.
机构信息
Department of Radiology, University of Wisconsin-Madison, Madison, Wisconsin;
Department of Radiology and Nuclear Medicine, Cancer Centre Amsterdam, Amsterdam University Medical Centres, Amsterdam, The Netherlands.
出版信息
J Nucl Med. 2022 Apr;63(4):500-510. doi: 10.2967/jnumed.121.262567. Epub 2021 Nov 5.
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.
摘要
核医学领域在开发人工智能 (AI) 算法方面引起了学术界和商业界的浓厚兴趣。用户和开发者可以通过识别和遵循 AI 算法开发的最佳实践来避免一些 AI 陷阱。本文提供了在核医学中开发 AI 算法的技术最佳实践建议，首先是一般建议，然后继续描述如何针对核医学中的特定主题实践这些原则。本报告由核医学与分子影像学会的人工智能工作组编写。
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