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Artificial Intelligence for Diagnostic Support of Neuroimage Akihiko Shiino 1 1Molecular Neuroscience Research Center, Department of Biomedical MR Science, Shiga University of Medical Science Keyword: 人工知能 , VBM , アルツハイマー病 , 磁気共鳴 , , artificial Intelligence , voxel-based morphometry , Alzheimer's disease , magnetic resonance , brain pp.733-748
Published Date 2019/7/1
DOI https://doi.org/10.11477/mf.1416201345
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Abstract

Artificial intelligence (AI) shows promises in terms of diagnostic support on neuroimaging. We developed a software that predicts Alzheimer's disease (AD) using support vector machines (SVM) through three-dimensional brain MR images. Here, we will explain the general idea of voxel-based morphometry and SVM. We used the Alzheimer's Disease Neuroimaging Initiative (ADNI) database for SVM training and tested it on the Australian Imaging Biomarkers and Lifestyle Study of Ageing (AIBL) and the Japanese ADNI database. AI shows higher accuracy for predicting AD than a method of conventional statistical analysis, indicating potential clinical use for diagnostic support.


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電子版ISSN 1344-8129 印刷版ISSN 1881-6096 医学書院

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