Channel: Review https://www.alzcn.com EN-US https://www.alzcn.com/EN/current.shtml https://www.alzcn.com 2096-5516 Alzheimer's disease (AD) is a chronic progressive neurological degenerative disease, which seriously affects the cognitive ability and daily living function of patients.With the advancement of artificial intelligence(AI) technologies, there has been increasing research exploring the rapid and efficient application of deep learning, convolutional neural networks, and other AI techniques in the prediction, diagnosis, and treatment of AD. These applications encompass various areas such as imaging analysis, neuropsychological data processing, treatment, and intelligent assistive devices. This paper aims to review the application and research status of artificial intelligence technology in AD. In this review, we compiled the existing artificial intelligence technology in AD image data processing, AD prediction, in AD treatment and AD patients intelligent auxiliary equipment application progress, according to the systematic review and meta analysis preferred systematic literature review and related studies, in July and August 2023, we searched in PubMed, CHKD, database and the cloud library, this step generated 96 non-repeated results. Next, we screened the titles and abstracts of 96 papers and then excluded 50 papers, leaving 46 for a comprehensive analysis. The application of artificial intelligence technology in the diagnosis and treatment of AD has a good application prospect, but some of them lack practicability and generalization, and need to be further optimized.

]]> Combined exercise and cognitive intervention is a non-pharmacological approach for older adults with mild cognitive impairment (MCI), and telerehabilitation provides a home-based intervention for MCI patients through information and communication technology, enhancing intervention compliance and accessibility. Telerehabilitation technology, applied to the combined exercise and cognitive intervention for MCI patients, involves setting personalized goals, implementing telephone supervision and home visits, providing online skill training and video guidance, and family support through interactive technologies, thereby enhancing patient self-efficacy and compliance. Platforms for MCI patients' telerehabilitation interventions include gamification (exergames, serious games), digital and mobile applications (applications, web-based programs, videoconference), etc. The combination modes of physical and cognitive intervention include three types: sequential, dual-task and interactive types. Strategies for telerehabilitation of MCI patients based on health behavior theory emphasize strengthening self-efficacy, personalized precision intervention, enhancing social support, building user-friendly frameworks, and strengthening health beliefs, however, challenges such as safety issues and learning barriers for the older adults in using technological devices persist. The latest developments indicate that physical-cognitive interventions for older adults with MCI, based on telerehabilitation technology, hold significant prospects for flexible, economical, and personalized interventions. Future research should design user-friendly telerehabilitation platforms guided by health behavior theory, considering the characteristics and preferences of MCI patients, and conduct more studies targeting the Chinese MCI population to provide high-level evidence supporting the feasibility and generalizability of intervention programs.

]]> With the prevalence of neurodegenerative diseases such as Alzheimer's disease(AD) and the growing memory crisis, there is a significant need for early AD based diagnostic aids. Medical imaging technology is an effective tool to assist in AD screening in the early stages, where hypergraphs excel in the task of classifying AD. In hypergraphs, hyperedges can connect multiple nodes, which makes hypergraphs more suitable for representing complex relationships and structures. In medical imaging technology, hypergraphs are able to model multivariate relationships more accurately, with a strong ability to portray and mine nonlinear higher-order associations between data samples. This paper summarises the research results based on brain functional hypernetworks, focusing on three methods: graph kernels, matrix analysis and deep learning, and concludes with an outlook on future developments to provide a reference for subsequent research.

]]> Alzheimer's disease (AD) is a progressive neurodegenerative disease characterized by memory impairment and cognitive decline, which ultimately affects speech, behavior, visual spatial localization and motor system. The deposition of A β to a certain dose will initiate some mechanisms to cause pathological changes and lead to memory loss. Oxidative stress and inflammation play important roles in many mechanisms. In recent years, it has been found that the activation of microglia and astrocytes can promote neuroinflammatory response and cause neuronal damage. This paper systematically collates and summarizes the effects of microglia and astrocytes on AD and the regulation of traditional Chinese medicine on neuroinflammation in the treatment of AD, in order to provide some theoretical reference for the treatment and further research of AD.

]]> Alzheimer's disease (AD) is a chronic neurodegenerative disorder characterized by progressive memory loss and cognitive impairment, making it one of the leading causes of dementia. With the increasing global aging population, AD has emerged as one of the costliest and deadliest diseases of this century, yet effective treatments are still lacking. In recent years, various non-invasive approaches, including biophysical stimulation techniques, have been developed and applied for the treatment of central nervous system diseases. These techniques involve methods such as ultrasound, light, electrical, and magnetic stimulation, offering new avenues for addressing AD.This article introduces non-invasive multisensory stimulation therapies (NIMST) for AD and reviews their impact on cognitive performance in AD animal models and AD patients, as well as the research progress on the neurobiological mechanisms underlying their potential to ameliorate AD pathology. Finally, the article discusses the current limitations of non-invasive multisensory stimulation therapies and offers insights into future research directions, aiming to provide more effective treatment strategies for AD in the future.

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