Alzheimer's Disease Detection Techniques: A Review

Hakar Hasan Rasheed; Naaman Omar Yaseen

Article Details

Alzheimer's Disease Detection Techniques: A Review

Authors:

Hakar Hasan Rasheed | Naaman Omar Yaseen

Publisher:

International University of Erbil

Journal:

Academic Journal of International University of Erbil Vol.3, pp.1-18

Document Type:

Article

Publication Date:

8/2026

Document Language:

English

Document ID (Org No.):

2001930273

pISSN:

3080-7174

Keywords:

Abstract:

 Alzheimer’s disease (AD) is a progressive neurodegenerative disorder and a leading cause of dementia worldwide. Conventional diagnostic methods, including cerebrospinal fluid analysis and clinical evaluation, are invasive and typically effective only at later stages, despite the importance of early detection for therapeutic success. Advances in neuroimaging, particularly magnetic resonance imaging (MRI), coupled with machine learning (ML) and deep learning (DL), have enabled non-invasive identification of structural and functional brain alterations characteristic of AD. Convolutional neural networks (CNNs) and long short-term memory (LSTM) models are particularly effective for processing large-scale volumetric and temporal data. Incorporating genetic and clinical biomarkers alongside imaging data further enhances diagnostic performance. Nonetheless, significant challenges remain, including limited datasets, heterogeneous sources of information, algorithm interpretability, and ethical considerations. Emerging solutions such as federated learning, standardized preprocessing pipelines, and explainable AI (XAI) frameworks aim to address these barriers and improve the reliability of computational models in clinical settings. This review discusses recent progress in AI-driven approaches for AD detection and underscores the importance of interdisciplinary strategies to facilitate earlier diagnosis, improve patient outcomes, and support more effective management of Alzheimer’s disease.

Article Details

Alzheimer's Disease Detection Techniques: A Review

Authors:

Hakar Hasan Rasheed | Naaman Omar Yaseen

Publisher:

International University of Erbil

Journal:

Academic Journal of International University of Erbil Vol.3, pp.1-18

Document Type:

Article

Publication Date:

8/2026

Document Language:

English

Document ID (Org No.):

2001930273

pISSN:

3080-7174

Alzheimer’s disease (AD)

magnetic resonance imaging (MRI)

mild cognitive impairment (MCI)

neuroimaging

Issues

Article Details

Alzheimer's Disease Detection Techniques: A Review

Authors: Hakar Hasan Rasheed | Naaman Omar Yaseen

Publisher: International University of Erbil

Journal: Academic Journal of International University of Erbil Vol.3, pp.1-18

Document Type: Article

Publication Date: 8/2026

Document Language: English

Document ID (Org No.): 2001930273

pISSN: 3080-7174

Alzheimer’s disease (AD)

magnetic resonance imaging (MRI)

mild cognitive impairment (MCI)

neuroimaging

Issues

Authors:

Hakar Hasan Rasheed | Naaman Omar Yaseen

Publisher:

International University of Erbil

Journal:

Academic Journal of International University of Erbil Vol.3, pp.1-18

Document Type:

Article

Publication Date:

8/2026

Document Language:

English

Document ID (Org No.):

2001930273

pISSN:

3080-7174