Current Alzheimer Research

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Review Article

Recent Advances in the Application of Artificial Intelligence in Alzheimer's Disease

Author(s): Lulu Yao, Jingnian Ni, Mingqing Wei, Ting Li, Fuyao Li, Tuanjie Wang, Wei Xiao, Jing Shi* and Jinzhou Tian*

Volume 22, Issue 11, 2025

Published on: 22 October, 2025

Page: [815 - 827] Pages: 13

DOI: 10.2174/0115672050410489250930175402

Price: $65

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Abstract

Artificial intelligence (AI) refers to a system that can simulate and execute the processes of human thinking and learning, and make informed decisions. Fueled by the development of AI, the quality and effectiveness of medical work have gained momentum. AI technology plays an increasingly important role in healthcare, exhibiting substantial potential in clinical practice and decision-making processes. In Alzheimer’s disease (AD), where early diagnosis and treatment remain challenging due to clinical heterogeneity and insidious progression, AI could offer excellent solutions. AI models can integrate multi-modal data to identify pre-symptomatic biomarkers and stratify high-risk cohorts, improving diagnostic accuracy, assisting with personalizing treatment and care. Furthermore, AI can accelerate drug discovery and development through drug-target identification and predictive modeling of compound efficacy. However, data quality, supervision, transparency, privacy, and ethical concerns need to be addressed. By identifying and retrieving studies for the systematic review, this article provides a comprehensive overview of current progress and related AI applications in AD.

Keywords: Artificial intelligence, Alzheimer’s disease, neurodegenerative disease, dementia, cognitive function, neuronal loss.

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