Introduction to Alzheimer's Disease, Biomarkers, and the AI Revolution

Abstract

Alzheimer's disease (AD) is a progressive neurodegenerative disease that results in a steady decline in cognitive ability and memory function. As society ages, the need for an optimum AD management strategy becomes more important. This chapter analyzes the stage-construction etiology and escalating symptoms of AD discovered throughout this review, as well as the identification of the barrier to precise diagnosis. The ability of artificial intelligence to achieve more precise and quicker detection through machine learning, data analytics, and predictive modeling is also being considered. Therefore, employing AI in AD-related studies is a novel approach to enhancing patient outcomes. Proper diagnosis of the parallel increased probability of many parameters is one of the most difficult AD moments to identify. However, the use of artificial intelligence evaluation sensor network technologies and big data analysis has advanced, and preventive instruments can be used. Thus, technology gives humanity hope to stop or, at the very least, slow down this tragedy.