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Since Alzheimer’s disease (AD) occurs in multiple stages of cognitive impairment, its early diagnosis can be helpful in the process of treatment. Its early diagnosis is thus drawn the attention of researchers and physicians. This study aims to investigate various types of artificial neural networks (ANNs) used to diagnose and predict AD based on brain images of subjects with mild cognitive impairment (MCI). In this study, articles indexed in the IEEE, Springer, Elsevier, and PubMed Central databases were systematically analyzed over the period from 2010 through the first half of 2020. The initial search was done for the keywords Alzheimer’s, Magnetic resonance imaging (MRI), and neural network, continued for the keywords Alzheimer’s, brain positron emission tomography(PET), and neural network, and ended with the keywords Alzheimer’s, brain computed tomography (CT), and neural network. Eventually, the most …