AIMC Topic: Alzheimer Disease
Clear Filters Showing 891 to 900 of 1023 articles
Deep Trans-Omic Network Fusion for Molecular Mechanism of Alzheimer's Disease.
Journal of Alzheimer's disease : JAD
Jan 1, 2024
BACKGROUND: There are various molecular hypotheses regarding Alzheimer's disease (AD) like amyloid deposition, tau propagation, neuroinflammation, and synaptic dysfunction. However, detailed molecular mechanism underlying AD remains elusive. In addit...
Unveiling New Strategies Facilitating the Implementation of Artificial Intelligence in Neuroimaging for the Early Detection of Alzheimer's Disease.
Journal of Alzheimer's disease : JAD
Jan 1, 2024
Alzheimer's disease (AD) is a chronic neurodegenerative disorder with a global impact. The past few decades have witnessed significant strides in comprehending the underlying pathophysiological mechanisms and developing diagnostic methodologies for A...
Neural Computation-Based Methods for the Early Diagnosis and Prognosis of Alzheimer's Disease Not Using Neuroimaging Biomarkers: A Systematic Review.
Journal of Alzheimer's disease : JAD
Jan 1, 2024
BACKGROUND: The growing number of older adults in recent decades has led to more prevalent geriatric diseases, such as strokes and dementia. Therefore, Alzheimer's disease (AD), as the most common type of dementia, has become more frequent too.
Disentangling Accelerated Cognitive Decline from the Normal Aging Process and Unraveling Its Genetic Components: A Neuroimaging-Based Deep Learning Approach.
Journal of Alzheimer's disease : JAD
Jan 1, 2024
BACKGROUND: The progressive cognitive decline, an integral component of Alzheimer's disease (AD), unfolds in tandem with the natural aging process. Neuroimaging features have demonstrated the capacity to distinguish cognitive decline changes stemming...
Exploring the Value of MRI Measurement of Hippocampal Volume for Predicting the Occurrence and Progression of Alzheimer's Disease Based on Artificial Intelligence Deep Learning Technology and Evidence-Based Medicine Meta-Analysis.
Journal of Alzheimer's disease : JAD
Jan 1, 2024
BACKGROUND: Alzheimer's disease (AD), a major dementia cause, lacks effective treatment. MRI-based hippocampal volume measurement using artificial intelligence offers new insights into early diagnosis and intervention in AD progression.
An Early Detection and Classification of Alzheimer's Disease Framework Based on ResNet-50.
Current medical imaging
Jan 1, 2024
OBJECTIVE: The objective of this study is to develop a more effective early detection system for Alzheimer's disease (AD) using a Deep Residual Network (ResNet) model by addressing the issue of convolutional layers in conventional Convolutional Neura...
Design of the formalized and integrated Alzheimer's Disease Ontology and its application in retrieving textual data via text mining.
Database : the journal of biological databases and curation
Dec 2, 2023
As one of the leading causes for dementia in the population, it is imperative that we discern exactly why Alzheimer's disease (AD) has a strong molecular association with beta-amyloid and tau. Although a clear understanding about etiology and pathoge...
Combination of deep learning and 2D CARS figures for identification of amyloid-β plaques.
Optics express
Oct 9, 2023
In vivo imaging and accurate identification of amyloid-β (Aβ) plaque are crucial in Alzheimer's disease (AD) research. In this work, we propose to combine the coherent anti-Stokes Raman scattering (CARS) microscopy, a powerful detection technology fo...
MRI-based Deep Learning Assessment of Amyloid, Tau, and Neurodegeneration Biomarker Status across the Alzheimer Disease Spectrum.
Radiology
Oct 1, 2023
Background PET can be used for amyloid-tau-neurodegeneration (ATN) classification in Alzheimer disease, but incurs considerable cost and exposure to ionizing radiation. MRI currently has limited use in characterizing ATN status. Deep learning techniq...
GIRUS-net: A Multimodal Deep Learning Model Identifying Imaging and Genetic Biomarkers Linked to Alzheimer's Disease Severity.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2023
We introduce an explainable deep neural architecture that combines brain structure with genetic influence to improve disease severity prediction in Alzheimer's disease. Our framework consists of an encoder, a decoder, and a rank-consistent ordinal re...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 32544
- Neural Networks, Computer 30502
- Algorithms 27746
- Deep Learning 27302
- Artificial Intelligence 25227
- Robotics 13430
- Image Processing, Computer-Assisted 9890
- Retrospective Studies 9537
- Magnetic Resonance Imaging 6484
- Reproducibility of Results 5746
- Tomography, X-Ray Computed 4963
- Support Vector Machine 4812
- Computational Biology 4397
- Brain 4188
- Computer Simulation 3963
Recent Journals
- Scientific reports 7013
- Sensors (Basel, Switzerland) 4794
- PloS one 4326
- Neural networks : the official journal of the International Neural Network Society 3035
- Computers in biology and medicine 2040
- Computational intelligence and neuroscience 1931
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1395
- IEEE journal of biomedical and health informatics 1197
- Journal of chemical information and modeling 1088
- Nature communications 1072
- Computer methods and programs in biomedicine 895
- Journal of medical Internet research 880
- Bioinformatics (Oxford, England) 880
- IEEE transactions on neural networks and learning systems 859