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Artificial Intelligence in the Detection of Alzheimer's Disease

Artificial Intelligence in the Detection of Alzheimer's Disease
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Author(s): Mohammad Gouse Galety (Catholic University in Erbil, Iraq) and Shweta Gupta (Jain University, India)
Copyright: 2022
Pages: 20
Source title: Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies
Source Author(s)/Editor(s): Shweta Gupta (Jain University, Bengaluru, India)
DOI: 10.4018/978-1-7998-9534-3.ch009

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Abstract

Dementia is a neurological illness that causes diversion from a variety of important cognitive activities. Common examples include memory, reasoning, orientation, understanding, computation, verbal communication, and decision making. Alzheimer's disease (AD) is one of the most common dementias affecting the elderly. It was projected that more than 47 million people globally will be affected by dementia in 2015; these predictions were verified, and forecasts for 2050 are much more concerning, with 131 million people living with dementia. The basic objective of AI is to improve human decision-making and automate operations that are too time-consuming or resource-intensive for people to accomplish. AI can operate as a fast, accurate, and in the long run, cost-effective method to assist human experience and intuition through predictive analytics. AI is an effective technique for AD detection as these methods are employed as a computer-aided diagnosis (CAD) system in clinical practices and play a crucial role in identifying variations in the brain images to detect AD.

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