One major neurodegenerative disease that primarily affects the senior citizen and pre-elderly population is Alzheimer's disease. Advances in AI-enhanced detection for Alzheimer's disease have been spurred by recent developments in MRI technology, raising hopes for early detection and prompt therapies. This advancement has made it possible to create complicated models and algorithms that can analyse imaging data, improving the efficiency and accuracy of diagnosis. It gives rise to hope for the groundbreaking possibilities in transforming the management of Alzheimer's disease and more successful treatment plans and better patient outcomes. This article aims to give a thorough overview of current advancements in DL techniques used to classify different stages of Alzheimer's disease based on brain MRI scans, with a focus on early diagnosis. It also discusses possible obstacles and future research possibilities, highlighting the shortcomings of the current research.
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Das et al. (2024) studied this question.
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