Advancements and Challenges in Diagnostic Approaches for Alzheimer's Disease: A Comprehensive Review

Abstract

This article explores the advancements and challenges in diagnostic approaches for Alzheimer's disease (AD). The article investigates the role of artificial intelligence in improving diagnostic accuracy, the potential of neuroimaging techniques for early detection and disease progression tracking, early-stage detection, and monitoring of AD. In addition, it also discusses the challenges associated with these approaches. This review provides valuable insights into the current diagnostic techniques for AD. It highlights future opportunities for advancements in computer science to enhance early diagnosis and management of this disease. Moreover, it presents detailed information about the recent datasets of AD.