AIMC Topic: Alzheimer Disease

Clear Filters Showing 351 to 360 of 1010 articles

Artificial Intelligence Assistive Software Tool for Automated Detection and Quantification of Amyloid-Related Imaging Abnormalities.

JAMA network open Feb 5, 2024
IMPORTANCE: Amyloid-related imaging abnormalities (ARIA) are brain magnetic resonance imaging (MRI) findings associated with the use of amyloid-β-directed monoclonal antibody therapies in Alzheimer disease (AD). ARIA monitoring is important to inform...
Retrospective Studies Female Aged Artificial Intelligence Software Amyloid beta-Peptides Alzheimer Disease Amyloid Male Antibodies, Monoclonal Humans
View on PubMed DOI

Systematic comparison of 3D Deep learning and classical machine learning explanations for Alzheimer's Disease detection.

Computers in biology and medicine Jan 30, 2024
Black-box deep learning (DL) models trained for the early detection of Alzheimer's Disease (AD) often lack systematic model interpretation. This work computes the activated brain regions during DL and compares those with classical Machine Learning (M...
Humans Deep Learning Magnetic Resonance Imaging Machine Learning Australia Alzheimer Disease
View on PubMed DOI

Enhancing foveal avascular zone analysis for Alzheimer's diagnosis with AI segmentation and machine learning using multiple radiomic features.

Scientific reports Jan 22, 2024
We propose a hybrid technique that employs artificial intelligence (AI)-based segmentation and machine learning classification using multiple features extracted from the foveal avascular zone (FAZ)-a retinal biomarker for Alzheimer's disease-to impro...
Biomarkers Tomography, X-Ray Computed Alzheimer Disease Humans Radiomics Artificial Intelligence Machine Learning
View on PubMed DOI

Deep insights into MCI diagnosis: A comparative deep learning analysis of EEG time series.

Journal of neuroscience methods Jan 10, 2024
BACKGROUND: Individuals in the early stages of Alzheimer's Disease (AD) are typically diagnosed with Mild Cognitive Impairment (MCI). MCI represents a transitional phase between normal cognitive function and AD. Electroencephalography (EEG) records c...
Alzheimer Disease Cognitive Dysfunction Time Factors Electroencephalography Neural Networks, Computer Deep Learning Humans
View on PubMed DOI

Determination of Alzheimer's disease based on morphology and atrophy using machine learning combined with automated segmentation.

Acta radiologica (Stockholm, Sweden : 1987) Jan 9, 2024
BACKGROUND: To evaluate the degree of cerebral atrophy for Alzheimer's disease (AD), voxel-based morphometry has been performed with magnetic resonance imaging. Detailed morphological changes in a specific tissue area having the most evidence of atro...
Male Middle Aged Imaging, Three-Dimensional Aged Aged, 80 and over Alzheimer Disease Image Interpretation, Computer-Assisted Neuroimaging Support Vector Machine Magnetic Resonance Imaging Humans Brain Female Machine Learning Gray Matter Atrophy
View on PubMed DOI

Role of Artificial Intelligence in Multinomial Decisions and Preventative Nutrition in Alzheimer's Disease.

Molecular nutrition & food research Jan 4, 2024
Alzheimer's disease (AD) affects 50 million people worldwide, an increase of 35 million since 2015, and it is known for memory loss and cognitive decline. Considering the morbidity associated with AD, it is important to explore lifestyle elements inf...
Diet Alzheimer Disease Nutritional Status Diet, Mediterranean Humans Artificial Intelligence Machine Learning
View on PubMed DOI

Deep learning applications in vascular dementia using neuroimaging.

Current opinion in psychiatry Dec 20, 2023
PURPOSE OF REVIEW: Vascular dementia (VaD) is the second common cause of dementia after Alzheimer's disease, and deep learning has emerged as a critical tool in dementia research. The aim of this article is to highlight the current deep learning appl...
Neuroimaging Deep Learning Humans Dementia, Vascular Magnetic Resonance Imaging Brain Alzheimer Disease
View on PubMed DOI

Brain age prediction using combined deep convolutional neural network and multi-layer perceptron algorithms.

Scientific reports Dec 16, 2023
The clinical applications of brain age prediction have expanded, particularly in anticipating the onset and prognosis of various neurodegenerative diseases. In the current study, we proposed a deep learning algorithm that leverages brain structural i...
Alzheimer Disease Algorithms Brain Deep Learning Humans Neural Networks, Computer
View on PubMed DOI

DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data.

Journal of visualized experiments : JoVE Dec 15, 2023
Large omics datasets are becoming increasingly available for research into human health. This paper presents DeepOmicsAE, a workflow optimized for the analysis of multi-omics datasets, including proteomics, metabolomics, and clinical data. This workf...
Alzheimer Disease Humans Deep Learning Metabolomics Proteomics Metabolome
View on PubMed DOI

A deep learning model for Alzheimer's disease diagnosis based on patient clinical records.

Computers in biology and medicine Dec 9, 2023
BACKGROUND: Dementia, with Alzheimer's disease (AD) being the most common type of this neurodegenerative disease, is an under-diagnosed health problem in older people. The creation of classification models based on AD risk factors using Deep Learning...
Humans Aged Deep Learning Neurodegenerative Diseases Alzheimer Disease Magnetic Resonance Imaging Neuroimaging
View on PubMed DOI
Popular Topics
Recent Journals