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Open Access

The Application of Artificial Intelligence in Alzheimer’s Research

Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
School of Medicine, Tsinghua University, Beijing 100084, China
Department of Computer Science, Sukkur IBA University, Sukkur 65200, Pakistan
Department of Neurology, Tsinghua University Yuquan Hospital, Beijing 100040, China
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Abstract

Alzheimer’s disease (AD) is an irreversible and neurodegenerative disease that slowly impairs memory and neurocognitive function, but the etiology of AD is still unclear. With the explosive growth of electronic health data, the application of artificial intelligence (AI) in the healthcare setting provides excellent potential for exploring etiology and personalized treatment approaches, and improving the disease’s diagnostic and prognostic outcome. This paper first briefly introduces AI technologies and applications in medicine, and then presents a comprehensive review of AI in AD. In simple, it includes etiology discovery based on genetic data, computer-aided diagnosis (CAD), computer-aided prognosis (CAP) of AD using multi-modality data (genetic, neuroimaging and linguistic data), and pharmacological or non-pharmacological approaches for treating AD. Later, some popular publicly available AD datasets are introduced, which are important for advancing AI technologies in AD analysis. Finally, core research challenges and future research directions are discussed.

Keywords

Alzheimer’s diseaseartificial intelligenceetiology discoverycomputer-aided diagnosiscomputer-aided prognosistreatment

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Tsinghua Science and Technology
Volume 29 Issue 1,
February 2024
Pages 13-33
DOI: 10.26599/TST.2023.9010037
Cite this article:
Zhao Q, Xu H, Li J, et al. The Application of Artificial Intelligence in Alzheimer’s Research. Tsinghua Science and Technology, 2024, 29(1): 13-33. https://doi.org/10.26599/TST.2023.9010037

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Received: 27 October 2022
Revised: 22 March 2023
Accepted: 27 April 2023
Published: 21 August 2023
© The author(s) 2024.

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