Here we summarize recent progress in machine learning model for diagnosis of Autism Spectrum Disorder (ASD) and Attention-deficit/Hyperactivity Disorder (ADHD). We outline and describe the machine-learning, especially deep-learning, techniques that are suitable for addressing research questions in this domain, pitfalls of the available methods, as well as future directions for the field. We envision a future where the diagnosis of ASD, ADHD, and other mental disorders is accomplished, and quantified using imaging techniques, such as MRI, and machine-learning models.

中文翻译：

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使用功能和结构 MRI 诊断自闭症谱系障碍和注意力缺陷/多动障碍的机器学习方法：一项调查

在这里，我们总结了用于诊断自闭症谱系障碍（ASD）和注意力缺陷/多动障碍（ADHD）的机器学习模型的最新进展。我们概述并描述了适合解决该领域研究问题的机器学习（尤其是深度学习）技术、可用方法的陷阱以及该领域的未来方向。我们设想未来可以使用 MRI 等成像技术和机器学习模型完成自闭症谱系障碍 (ASD)、多动症 (ADHD) 和其他精神障碍的诊断并进行量化。