Challenges and Future Directions in AI-Driven Alzheimer's Disease Research and Care

Abstract

Alzheimer's sickness (AD) is a neurodegenerative sickness that impacts thousands and thousands of individuals globally and is a major reason of cognitive impairment and dementia. With the speedy boom of synthetic intelligence (AI) technology, there have been good sized advancements in research and care in current years. These paper goals to check the modern demanding situations and destiny directions in AI-pushed ad research and care. It discusses the current kingdom of AI packages in ad, which include early analysis, tracking disorder progression, and predicting treatment response. Moreover, it highlights the demanding situations confronted in implementing AI-driven care, which includes moral worries and information privacy. The paper also explores the capacity effect of AI in optimizing customized remedy plans and improving affected person outcomes. Lastly, it addresses the future instructions in AI-pushed advert studies, which includes the mixing of multiple facts resources and the development of extra state-of-the-art AI algorithms.