Abstract
Alzheimer's disease (AD) is one of the most prevalent dementia types affecting the elderly population. On-time detection of the AD is valuable to find new approaches for the AD treatment. Artificial intelligence (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. This chapter reviews and summarizes the recent investigations, advances and some related challenges in AI techniques employed for medical image processing and image analysis in AD detection. Several studies have discovered and employed different techniques, including AI techniques for CAD of AD detection. The main concentration lies in getting a reliable, but simple and fast model for automatic AD detection. The approaches to identify AD are based on the application of AI techniques. In this chapter, the concentration will be on AI techniques for AD detection from brain images. Furthermore, some of the image processing, feature extraction, and machine learning methods which were applied to AD detection is overviewed. Then the chapter will be concluded with a summary of the current state of the art, a critical discussion of new directions and open challenges for future research.
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