Title:Recent Advances in the Application of Artificial Intelligence in Alzheimer's Disease
Volume: 22
Issue: 11
Author(s): Lulu Yao, Jingnian Ni, Mingqing Wei, Ting Li, Fuyao Li, Tuanjie Wang, Wei Xiao, Jing Shi*Jinzhou Tian*
Affiliation:
- Department of Neurology, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China
- Department of Neurology, Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine, Beijing, China
Keywords:
Artificial intelligence, Alzheimer’s disease, neurodegenerative disease, dementia, cognitive function, neuronal loss.
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.