摘要
人工智能（AI）是一个非常活跃的计算机科学的研究领域，旨在开发系统，模仿人类的智慧，并有助于许多人类活动，包括医学。在这篇综述中，我们提出了一些例子，利用AI技术，特别是自动分类，如人工神经网络（ANN），支持向量机（SVM），分类树（ClT）和集成方法，如随机森林（RF）能够分析正电子发射断层扫描（PET）获得的结果或单光子发射计算机断层扫描（SPECT）与神经退行性疾病的患者的扫描，特别是阿尔茨海默氏病。我们也把我们的注意力集中于技术的应用，对数据进行预处理降低其维数的特征选择或通过投影在一个更具代表性的区域（主成分分析- PCA或偏最小二乘- PLS -这些方法的例子）这是处理医疗数据的关键步骤，因为压缩病人的信息，并保留最有用的，以区分为正常和病理类是必要的。应用这些技术分类神经退行性疾病的患者提取分子成像数据的主要文献报道表明，越来越多的计算机辅助诊断系统的发展是非常有前途的诊断过程。
关键词: 阿尔茨海默病，计算机辅助诊断，痴呆，机器学习，分子成像，帕金森氏病，正电子发射断层扫描，单光子发射计算机断层扫描
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