Application of Artificial Intelligence techniques for the detection of Alzheimer's disease using structural MRI images
Article
Article Title | Application of Artificial Intelligence techniques for the detection of Alzheimer's disease using structural MRI images |
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ERA Journal ID | 211872 |
Article Category | Article |
Authors | Zhao, Xinxing, Ang, Candice Ke En, Acharya, U. Rajendra and Cheong, Kang Hao |
Journal Title | Biocybernetics and Biomedical Engineering |
Journal Citation | 41 (2), pp. 456-473 |
Number of Pages | 18 |
Year | 2021 |
Publisher | Elsevier BV |
Place of Publication | Netherlands |
ISSN | 0208-5216 |
2391-467X | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.bbe.2021.02.006 |
Web Address (URL) | https://www.sciencedirect.com/science/article/abs/pii/S0208521621000127 |
Abstract | Alzheimer’s disease (AD) is an irreversible, progressive brain disorder that slowly destroys memory and thinking skills. It is one of the leading types of dementia for persons aged above 65 worldwide. In order to achieve accurate and timely diagnosis, and for detection of AD in its early stages, numerous Artificial Intelligence (AI) based Computer-aided Diagnostic (CAD) approaches have been proposed using data from brain imaging. In this paper, we review the recent application of AI based CAD systems on AD and its stages, with a particular focus on the use of structural MRI due to its cost effectiveness and lack of ionizing radiation. We will review important factors of different AI techniques pertinent to AD, summarize contributions from different research groups, critically discuss challenges involved and propose directions for future research. Ultimately, it would be ideal for development of a diagnostic framework that could be applicable to not only AD, but to different types of dementia as well in the future. |
Keywords | Alzheimer's disease; Artificial Intelligence; Machine Learning; Present pattern; Deep Learning; Computer-aided diagnosis; Structural MRI |
ANZSRC Field of Research 2020 | 400306. Computational physiology |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Singapore University of Technology and Design |
MOH Holdings, Singapore | |
Ngee Ann Polytechnic, Singapore | |
Singapore University of Social Sciences (SUSS), Singapore | |
Kumamoto University, Japan |
https://research.usq.edu.au/item/z1w4y/application-of-artificial-intelligence-techniques-for-the-detection-of-alzheimer-s-disease-using-structural-mri-images
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