Techniques from the field of artificial intelligence, and more specifically machine (deep) learning methods, have been core components of most recent developments in the field of medical imaging. They are already being exploited or are being considered to tackle most tasks, including image reconstruction, processing (denoising, segmentation), analysis and predictive modelling. In this review we introduce and define these key concepts and discuss how the techniques from this field can be applied to nuclear medicine imaging applications with a particular focus on radio(geno)mics.

中文翻译：

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人工智能，机器（深度）学习和无线电（基因组）：定义和核医学成像应用。

人工智能领域的技术，尤其是机器（深度）学习方法，已成为医学成像领域最新发展的核心组成部分。它们已经被利用或正在考虑解决大多数任务，包括图像重建，处理（去噪，分割），分析和预测建模。在这篇综述中，我们介绍并定义了这些关键概念，并讨论了如何将这一领域的技术应用于核医学成像应用，尤其是放射性（基因）组学。