A systematic literature review on the significance of deep learning and machine learning in predicting Alzheimer's disease

Using machine learning approaches for multi-omics data analysis: A review

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Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data

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DEMNET: A Deep Learning Model for Early Diagnosis of Alzheimer Diseases and Dementia From MR Images

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Machine Learning Techniques for the Diagnosis of Alzheimer’s Disease

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Automated Detection of Alzheimer’s Disease Using Brain MRI Images– A Study with Various Feature Extraction Techniques

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Joint Classification and Regression via Deep Multi-Task Multi-Channel Learning for Alzheimer's Disease Diagnosis

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Diagnosis of Alzheimer’s Disease via Multi-Modality 3D Convolutional Neural Network

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Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer’s disease dementia: a systematic review

Grueso, S., & Viejo-Sobera, R. (2021) · Alzheimer's Research & Therapy · doi:10.1186/s13195-021-00900-w · Cited by 303 · see citing works

Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances

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A Transfer Learning Approach for Early Diagnosis of Alzheimer’s Disease on MRI Images

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Deep Learning Framework for Alzheimer’s Disease Diagnosis via 3D-CNN and FSBi-LSTM

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Dual attention multi-instance deep learning for Alzheimer’s disease diagnosis with structural MRI

Zhu, W., Sun, L., Huang, J., Han, L., & Zhang, D. (2021) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2021.3077079 · Cited by 278 · see citing works

Diagnostic power of resting‐state fMRI for detection of network connectivity in Alzheimer's disease and mild cognitive impairment: A systematic review

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Ensemble of 3D densely connected convolutional network for diagnosis of mild cognitive impairment and Alzheimer’s disease

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RNN-based longitudinal analysis for diagnosis of Alzheimer’s disease

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Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network

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Multi-modal deep learning model for auxiliary diagnosis of Alzheimer’s disease

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A 3D densely connected convolution neural network with connection-wise attention mechanism for Alzheimer's disease classification

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Machine learning techniques for diagnosis of alzheimer disease, mild cognitive disorder, and other types of dementia

Mirzaei, G., & Adeli, H. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.103293 · Cited by 214 · see citing works

An Explainable 3D Residual Self-Attention Deep Neural Network for Joint Atrophy Localization and Alzheimer’s Disease Diagnosis Using Structural MRI

Zhang, X., Han, L., Zhu, W., Sun, L., & Zhang, D. (2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3066832 · Cited by 208 · see citing works

Deep learning for Alzheimer's disease diagnosis: A survey

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Task-Induced Pyramid and Attention GAN for Multimodal Brain Image Imputation and Classification in Alzheimer's Disease

Gao, X., Shi, F., Shen, D. G., & Liu, M. (2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3097721 · Cited by 188 · see citing works

Transfer Learning With Intelligent Training Data Selection for Prediction of Alzheimer’s Disease

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Artificial intelligence for brain diseases: A systematic review

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An effective multimodal image fusion method using MRI and PET for Alzheimer’s disease diagnosis

Song, J., Zheng, J., Li, P., Lu, X., Zhu, G., & Shen, P. (2021) · Frontiers in Digital Health · doi:10.3389/fdgth.2021.637386 · Cited by 178 · see citing works

Classification of Alzheimer’s Disease Using Ensemble of Deep Neural Networks Trained Through Transfer Learning

Tanveer, M., Rashid, A. H., Ganaie, M. A., Reza, M., Razzak, I., & Hua, K. (2021) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2021.3083274 · Cited by 177 · see citing works

Computational Modeling of Dementia Prediction Using Deep Neural Network: Analysis on OASIS Dataset

Basheer, S., Bhatia, S., & Sakri, S. B. (2021) · IEEE Access · doi:10.1109/access.2021.3066213 · Cited by 170 · see citing works

Hypergraph based multi-task feature selection for multimodal classification of Alzheimer's disease

Shao, W., Peng, Y., Zu, C., Wang, M., & Zhang, D. (2019) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2019.101663 · Cited by 167 · see citing works

Hippocampus Analysis by Combination of 3-D DenseNet and Shapes for Alzheimer's Disease Diagnosis

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Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network

Wang, M., Lian, C., Yao, D., Zhang, D., Liu, M., & Shen, D. G. (2019) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2019.2957921 · Cited by 162 · see citing works

Functional magnetic resonance imaging, deep learning, and Alzheimer's disease: A systematic review

Warren, S. L., & Moustafa, A. A. (2022) · Journal of Neuroimaging · doi:10.1111/jon.13063 · Cited by 162 · see citing works

Prediction and Classification of Alzheimer’s Disease Based on Combined Features From Apolipoprotein-E Genotype, Cerebrospinal Fluid, MR, and FDG-PET Imaging Biomarkers

Gupta, Y., Lama, R. K., Kwon, G., & Initiative, A. D. N. (2019) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2019.00072 · Cited by 157 · see citing works

Alzheimer’s Diseases Detection by Using Deep Learning Algorithms: A Mini-Review

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Computer aided Alzheimer's disease diagnosis by an unsupervised deep learning technology

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Predicting Alzheimer’s Disease Using LSTM

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Ensembles of Patch-Based Classifiers for Diagnosis of Alzheimer Diseases

Ahmed, S., Choi, K. Y., Lee, J. J., Kim, B. C., Kwon, G.-R., Lee, K. H., & Jung, H. Y. (2019) · IEEE Access · doi:10.1109/access.2019.2920011 · Cited by 152 · see citing works

Cortical graph neural network for AD and MCI diagnosis and transfer learning across populations

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CBIR system using Capsule Networks and 3D CNN for Alzheimer's disease diagnosis

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Alzheimer’s disease classification using pre-trained deep networks

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Tensorizing GAN With High-Order Pooling for Alzheimer’s Disease Assessment

Yu, W., Lei, B., Ng, M. K., Cheung, A. C., Shen, Y., & Wang, S. (2021) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2021.3063516 · Cited by 140 · see citing works

Disease-Image-Specific Learning for Diagnosis-Oriented Neuroimage Synthesis With Incomplete Multi-Modality Data

Pan, Y., Liu, M., Xia, Y., & Shen, D. G. (2021) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2021.3091214 · Cited by 138 · see citing works

Multi-label classification of Alzheimer's disease stages from resting-state fMRI-based correlation connectivity data and deep learning

Alorf, A. A., & Khan, M. U. G. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.106240 · Cited by 138 · see citing works

Multi-model and multi-slice ensemble learning architecture based on 2D convolutional neural networks for Alzheimer's disease diagnosis

Kang, W., Lin, L., Zhang, B., Shen, X., & Wu, S. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104678 · Cited by 137 · see citing works

An Intelligent System for Early Recognition of Alzheimer’s Disease Using Neuroimaging

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Multi-modal data Alzheimer’s disease detection based on 3D convolution

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Attention-Guided Hybrid Network for Dementia Diagnosis With Structural MR Images

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Bidirectional Mapping of Brain MRI and PET With 3D Reversible GAN for the Diagnosis of Alzheimer’s Disease

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Convolution neural network–based Alzheimer's disease classification using hybrid enhanced independent component analysis based segmented gray matter of T2 weighted magnetic resonance imaging with clinical valuation

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Early diagnosis of Alzheimer's disease based on deep learning: A systematic review

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Predict Alzheimer’s disease using hippocampus MRI data: a lightweight 3D deep convolutional network model with visual and global shape representations

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Multi-View Separable Pyramid Network for AD Prediction at MCI Stage by 18F-FDG Brain PET Imaging

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Early diagnosis of Alzheimer’s disease using combined features from voxel-based morphometry and cortical, subcortical, and hippocampus regions of MRI T1 brain images

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Improving Alzheimer's stage categorization with Convolutional Neural Network using transfer learning and different magnetic resonance imaging modalities

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Alzheimer’s disease diagnosis from diffusion tensor images using convolutional neural networks

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A CNN–RNN–LSTM Based Amalgamation for Alzheimer’s Disease Detection

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An Improved Multi-Modal based Machine Learning Approach for the Prognosis of Alzheimer’s disease

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Auto-Metric Graph Neural Network Based on a Meta-Learning Strategy for the Diagnosis of Alzheimer's Disease

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Multimodal Fusion-Based Deep Learning Network for Effective Diagnosis of Alzheimer’s Disease

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Automated Detection of Alzheimer’s Disease and Mild Cognitive Impairment Using Whole Brain MRI

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A Comprehensive Machine-Learning Model Applied to Magnetic Resonance Imaging (MRI) to Predict Alzheimer’s Disease (AD) in Older Subjects

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Diagnosis and monitoring of Alzheimer's patients using classical and deep learning techniques

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A Multi-Stream Convolutional Neural Network for Classification of Progressive MCI in Alzheimer’s Disease Using Structural MRI Images

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Transfer Learning for Alzheimer’s Disease through Neuroimaging Biomarkers: A Systematic Review

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Combining of Multiple Deep Networks via Ensemble Generalization Loss, Based on MRI Images, for Alzheimer's Disease Classification

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Deep learning-based classification of healthy aging controls, mild cognitive impairment and Alzheimer’s disease using fusion of MRI-PET imaging

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A Novel Texture Extraction Technique with T1 Weighted MRI for the Classification of Alzheimer’s Disease

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An Improved Deep Residual Network Prediction Model for the Early Diagnosis of Alzheimer’s Disease

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Fused Sparse Network Learning for Longitudinal Analysis of Mild Cognitive Impairment

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An Improved LeNet-Deep Neural Network Model for Alzheimer’s Disease Classification Using Brain Magnetic Resonance Images

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A novel joint HCPMMP method for automatically classifying Alzheimer’s and different stage MCI patients

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Classification of Alzheimer’s Disease Using Deep Convolutional Spiking Neural Network

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Computer-Aided Diagnosis of Alzheimer’s Disease through Weak Supervision Deep Learning Framework with Attention Mechanism

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Machine learning vs. classic statistics for the prediction of IVF outcomes

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Efficient self-attention mechanism and structural distilling model for Alzheimer’s disease diagnosis

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Convolutional Neural Network-based MR Image Analysis for Alzheimer’s Disease Classification

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Diagnosis of Alzheimer's disease using Naive Bayesian Classifier

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Hierarchical Feature Extraction for Early Alzheimer’s Disease Diagnosis

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U-net based analysis of MRI for Alzheimer’s disease diagnosis

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Quantifying brain metabolism from FDG‐PET images into a probability of Alzheimer's dementia score

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Deep learning and multimodal feature fusion for the aided diagnosis of Alzheimer's disease

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Machine learning-based framework for differential diagnosis between vascular dementia and Alzheimer’s disease using structural MRI features

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Automatic Early Diagnosis of Alzheimer’s Disease Using 3D Deep Ensemble Approach

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Ensemble of ROI-based convolutional neural network classifiers for staging the Alzheimer disease spectrum from magnetic resonance imaging

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Multilevel Feature Representation of FDG-PET Brain Images for Diagnosing Alzheimer's Disease

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Regression and Classification of Alzheimer’s Disease Diagnosis Using NMF-TDNet Features From 3D Brain MR Image

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Multi-modal AD classification via self-paced latent correlation analysis

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Alzheimer’s Disease Diagnosis Based on Cortical and Subcortical Features

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Slice-selective learning for Alzheimer’s disease classification using a generative adversarial network: a feasibility study of external validation

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A parallel attention‐augmented bilinear network for early magnetic resonance imaging‐based diagnosis of Alzheimer's disease

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Deviation From Model of Normal Aging in Alzheimer’s Disease: Application of Deep Learning to Structural MRI Data and Cognitive Tests

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Entropy Slicing Extraction and Transfer Learning Classification for Early Diagnosis of Alzheimer Diseases with sMRI

Kumar, S. S., & Nandhini, M. (2020) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3383749 · Cited by 35 · see citing works

3-D CNN-Based Multichannel Contrastive Learning for Alzheimer’s Disease Automatic Diagnosis

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Accuracy of deep learning model-assisted amyloid positron emission tomography scan in predicting Alzheimer's disease: A Systematic Review and meta-analysis

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Classification of Alzheimer’s Disease Based on Abnormal Hippocampal Functional Connectivity and Machine Learning

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The use of back propagation neural networks and 18F-Florbetapir PET for early detection of Alzheimer’s disease using Alzheimer’s Disease Neuroimaging Initiative database

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A CAD system design to diagnosize alzheimers disease from MRI brain images using optimal deep neural network

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An Exemplar Pyramid Feature Extraction Based Alzheimer Disease Classification Method

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A Deep Convolutional Neural Networks Based Approach for Alzheimer’s Disease and Mild Cognitive Impairment Classification Using Brain Images

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Multi-class classification of Alzheimer’s disease through distinct neuroimaging computational approaches using Florbetapir PET scans

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Asymmetry-enhanced attention network for Alzheimer’s diagnosis with structural Magnetic Resonance Imaging

Wang, C., Wei, Y. J., Li, J., Li, X., Liu, Y., Hu, Q., & Wang, Y. (2022) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2022.106282 · Cited by 15 · see citing works

Alzheimer disease diagnosis for magnetic resonance brain images using deep learning neural networks

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Zoom-In Neural Network Deep-Learning Model for Alzheimer’s Disease Assessments

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A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis

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Leung-Malik Features and Adaboost Perform Classification of Alzheimer’s Disease Stages

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Advanced convolutional neural network with attention mechanism for Alzheimer's disease classification using MRI

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The Evolution of Artificial Intelligence in Nuclear Medicine

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Advances in AI for Medical Imaging: A Review of Machine and Deep Learning in Disease Detection

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Clinical Significance of APOE4 Genotyping: Potential for Personalized Therapy and Early Diagnosis of Alzheimer’s Disease

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Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning

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A multi-modal fusion model with enhanced feature representation for chronic kidney disease progression prediction

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Decoding Schizophrenia: How AI-Enhanced fMRI Unlocks New Pathways for Precision Psychiatry

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Big data and artificial intelligence applied to blood and CSF fluid biomarkers in multiple sclerosis

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An Attention-Based CNN Framework for Alzheimer’s Disease Staging with Multi-Technique XAI Visualization

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Artificial Intelligence in PET Imaging for Alzheimer’s Disease: A Narrative Review

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Comparison of Deep Learning and Traditional Machine Learning Models for Predicting Mild Cognitive Impairment Using Plasma Proteomic Biomarkers

Wang, K., Adjeroh, D., Fang, W., Walter, S. M., Xiao, D., Piamjariyakul, U., & Xu, C. D. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26062428 · Cited by 7 · see citing works

Diagnostic performance of deep learning-assisted [18F]FDG PET imaging for Alzheimer’s disease: a systematic review and meta-analysis

Sun, Y., Chen, Y., Dong, L., Hu, D., Zhang, X., Jin, C., Zhou, R., Zhang, J., Dou, X., Wang, J., et al. (2025) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-025-07228-9 · Cited by 6 · see citing works

Systemic immune-inflammatory biomarkers combined with the CRP-albumin-lymphocyte index predict surgical site infection following posterior lumbar spinal fusion: a retrospective study using machine learning

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Early diagnosis of mild cognitive impairment and Alzheimer’s disease using multimodal feature-based deep learning models in a Chinese elderly population

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Early detection of Multi-Class Alzheimer’s disease using Hybrid capsule auto encoder model

Narnaware, M. B., & Mulla, T. A. (2025) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2025.108330 · Cited by 5 · see citing works

Enhancing multi-class neurodegenerative disease classification using deep learning and explainable local interpretable model-agnostic explanations

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Magnetic resonance imaging analysis for Alzheimer’s disease diagnosis using artificial intelligence: Methods, challenges, and opportunities

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Alzheimer disease predicting from clinical and MRI data using DeepALZNET dual pathway framework

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Counterfactual, Longitudinal, and Multimodal Explainable AI for MRI-Based Alzheimer’s Diagnosis: A Structured Review

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Hippocampus-centered structural covariance network reorganization in Alzheimer’s disease: An individualized graph-based biomarker validated by machine learning

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Multimodal fusion network with multi-scale structure and metabolic focus for enhancing Alzheimer’s disease prediction

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A Combination of Functional Principal Component Analysis and Long Short-Term Memory Networks for Alzheimer's Disease Prediction

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Alzheimer's Disease Prediction Using InceptionResNet Integrating Deep Learning Models

Jenath, M., Lalitha, Y., Vidhyalakshmi, A. M., Ramya, N., Latha, C. V. K., & Matheswaran, S. (2024) · Advances in bioinformatics and biomedical engineering book series · doi:10.4018/979-8-3693-6442-0.ch018 · Cited by 1 · see citing works

The Role of Artificial Intelligence in the Diagnosis of Alzheimer's Disease - A Comprehensive Review

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Development of a Diagnostic Prediction Model for Post‐Stroke Cognitive Impairment in Acute Large Vessel Occlusion Stroke Using Multimodal MRI and PET/CT: A Study Protocol

Li, J., Luo, Y., Liu, P., Zhang, J., Duan, C., Xiong, H., Li, M., Zhang, B., Li, L., Gong, L., et al. (2025) · Brain and Behavior · doi:10.1002/brb3.70613 · Cited by 1 · see citing works

Patient-Oriented Smart Applications to Support the Diagnosis, Rehabilitation, and Care of Patients with Parkinson’s: An Umbrella Review

Bastardo, R., Pavão, J., Martins, A. I., Silva, A. G., & Rocha, N. P. (2025) · Future Internet · doi:10.3390/fi17080376 · Cited by 1 · see citing works

A 3D efficient and essentialized swin transformer network for alzheimer’s disease diagnosis

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REMEMBER: Retrieval-based Explainable Multimodal Evidence-guided Modeling for Brain Evaluation and Reasoning in Zero- and Few-shot Neurodegenerative Diagnosis

Can, D.-C., Tang, Q.-H., Ha, H., Nguyen, B. T., & Chén, O. Y. (2025) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3746027.3754809 · Cited by 1 · see citing works

Alzheimer’s Disease Diagnosis using a Hybrid Model of ResNet-50 and Logistic Regression

Jain, A., & Kumar, B. (2025) · IEEE Madhya Pradesh Section Conference (MPCON) · doi:10.1109/mpcon66082.2025.11256660 · Cited by 1 · see citing works

Predictive modeling approaches for Alzheimer's disease diagnosis through neuroimaging techniques

Pandey, K. K., Mishra, A., & Milan, R. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102989 · Cited by 1 · see citing works

Measuring the prediction performance of Alzheimer’s disease using MR images with a deep learning model supported by a cross-replication strategy

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Explainable AI for MRI Alzheimer’s disease classification: A comparative analysis

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Translational computerized clinical decision support systems for Alzheimer's disease: A systematic review

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Vista: Vision-Text Alignment Model with Contrastive Learning Using Multimodal Data for Evidence-Driven, Reliable, and Explainable Alzheimer's Disease DiagnosisPreprint

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Diffusion MRI reveals amyloid plaque–associated cellular signatures through spatial transcriptomic integration

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Alzheimer's Disease Detection using VGG19 Model on MRI Scans

Das, G., Patra, G. R., Kuanar, A., & Mohanty, M. N. (2024) · Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology (ODICON) · doi:10.1109/odicon62106.2024.10797469

Intelligent cognitive health monitoring for seniors using natural language processing-integrated GRU attention and Q-reinforcement learning

Yadav, A., Dhanda, N., & Singh, D. (2025) · International Journal of Speech Technology · doi:10.1007/s10772-025-10175-3

Early Diagnosis of Alzheimer’s Disease Using Machine Learning in MCI Individuals

Rahman, A., & Singh, D. (2024) · International Conference on Communication, Control and Intelligent Systems (CCIS) · doi:10.1109/ccis63231.2024.10932134

Let’s Agree to Be Wrong: Transforming Alzheimer Disease Diagnosis

Nasrallah, I. M. (2025) · Radiology Artificial Intelligence · doi:10.1148/ryai.250686

Machine learning model comparison and ensemble for predicting different morphological fractions of heavy metal elements in tailings and mine waste

Feng, Y., Hu, T., Zhou, N., Zhou, M., Barkhordari, M. S., Li, K., & Qi, C. (2025) · Journal of Central South University · doi:10.1007/s11771-025-6075-3

Deep learning–based noninvasive brain feature fusion for Alzheimer's disease classification

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Dual-Model Framework for Alzheimer's Detection in CT Imaging: A Comparative Study of EfficientNetV2-B0 and ResNet50V2

Shehu, M., Malhotra, N., & Kumar, S. (2025) · Asian Conference on Innovation in Technology (ASIANCON) · doi:10.1109/asiancon66527.2025.11281242

Optimising Alzheimer’s Disease Biomarkers Prediction Through Gene Expression Analysis and Automated Machine Learning

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Smiling difficulties in Alzheimer’s disease linked to reduced nucleus accumbens and pallidum brain volume: Deep learning insights

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Hybrid Deep Learning Framework for Alzheimer's Detection: Perona-Malik Filter-Based FAWT Feature Extraction with ResNet-50 on MRI Images

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Advancing Brain Tumor Detection with Generative AI: A Review of Synthetic Data and Image Enhancement Techniques (2023–2025)

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A Statistical Analysis of CNN Architectures with Grad-CAM Visualization on MRI Brain Scans

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Computational Methods for Alzheimer’s Disease Diagnosis: A Systematic Review of Deep Learning and Federated Learning with Clinical and Privacy Perspectives

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Interpretable multimodal MRI fusion in Alzheimer’s disease classification using extended parallel multilink joint ICA and 3D ResNet

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Machine Learning-Based Construction of Dementia Risk Prediction Models and Their Feature Importance Analysis

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AI-Based fMRI Analysis for ADHD, Alzheimer's Disease, and Schizophrenia

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A PRISMA ‐Based Systematic Survey on Text to Image Generative Models in Multilingual Contexts

Mudiraj, N. S., & Singh, S. (2026) · Expert Systems · doi:10.1111/exsy.70448

Scoping review of multimodal AI incorporating raw images for heterogeneous data fusion in mental and cognitive healthcare

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Joint modeling approaches for predicting conversion from mild cognitive impairment to Alzheimer’s disease: A systematic review (1999-2025)

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Review of deep learning models for Alzheimer’s disease detection: MRI-centric approaches and multimodal extensions

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Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review

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A Comprehensive Review of Deep Learning Methodologies for Alzheimer’s Disease Diagnosis by Neuroimaging

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Current Trends in Deep Learning Techniques for Alzheimer's Disease Diagnosis Using Medical Images: A Systematic Literature ReviewPreprint

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Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review

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