AI Medical Compendium Topic:
Alzheimer Disease

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Application of deep learning to understand resilience to Alzheimer's disease pathology.

Brain pathology (Zurich, Switzerland) May 19, 2021
People who have Alzheimer's disease neuropathologic change (ADNC) typically associated with dementia but not the associated cognitive decline can be considered to be "resilient" to the effects of ADNC. We have previously reported lower neocortical le...
Female Aged Aged, 80 and over Male Disease Progression Humans Algorithms Brain DNA-Binding Proteins Alzheimer Disease tau Proteins Deep Learning Cognitive Dysfunction Cognition Phosphorylation
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Deep recurrent model for individualized prediction of Alzheimer's disease progression.

NeuroImage May 13, 2021
Alzheimer's disease (AD) is known as one of the major causes of dementia and is characterized by slow progression over several years, with no treatments or available medicines. In this regard, there have been efforts to identify the risk of developin...
Neuropsychological Tests Cognitive Dysfunction Longitudinal Studies Magnetic Resonance Imaging Alzheimer Disease Biomarkers Humans Prognosis Aged, 80 and over Female Male Aged Middle Aged Disease Progression Deep Learning
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A machine learning approach to screen for preclinical Alzheimer's disease.

Neurobiology of aging May 4, 2021
Combining multimodal biomarkers could help in the early diagnosis of Alzheimer's disease (AD). We included 304 cognitively normal individuals from the INSIGHT-preAD cohort. Amyloid and neurodegeneration were assessed on F-florbetapir and F-fluorodeox...
Alzheimer Disease Positron-Emission Tomography Hippocampus Neuropsychological Tests Apolipoprotein E4 Mass Screening Follow-Up Studies Magnetic Resonance Imaging Electroencephalography Nerve Degeneration Humans Machine Learning Biomarkers Female Aged Aged, 80 and over Male Cohort Studies Genotype
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White matter hyperintensities segmentation using the ensemble U-Net with multi-scale highlighting foregrounds.

NeuroImage May 3, 2021
White matter hyperintensities (WMHs) are abnormal signals within the white matter region on the human brain MRI and have been associated with aging processes, cognitive decline, and dementia. In the current study, we proposed a U-Net with multi-scale...
Humans Female Aged Aged, 80 and over Magnetic Resonance Imaging Diagnosis, Differential Alzheimer Disease Neuroimaging Leukoaraiosis Male Aging Deep Learning Cognitive Dysfunction
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Diagnosis of Alzheimer's Disease Severity with fMRI Images Using Robust Multitask Feature Extraction Method and Convolutional Neural Network (CNN).

Computational and mathematical methods in medicine Apr 27, 2021
The automatic diagnosis of Alzheimer's disease plays an important role in human health, especially in its early stage. Because it is a neurodegenerative condition, Alzheimer's disease seems to have a long incubation period. Therefore, it is essential...
Alzheimer Disease Image Interpretation, Computer-Assisted Early Diagnosis Mental Status and Dementia Tests Humans Neural Networks, Computer Support Vector Machine Algorithms Brain Magnetic Resonance Imaging Databases, Factual Severity of Illness Index Decision Trees Deep Learning Discriminant Analysis Functional Neuroimaging Computational Biology
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Diagnosis of Alzheimer's Disease by Time-Dependent Power Spectrum Descriptors and Convolutional Neural Network Using EEG Signal.

Computational and mathematical methods in medicine Apr 23, 2021
Using strategies that obtain biomarkers where early symptoms coincide, the early detection of Alzheimer's disease and its complications is essential. Electroencephalogram is a technology that allows thousands of neurons with equal spatial orientation...
Alzheimer Disease Humans Early Diagnosis Neural Networks, Computer Computational Biology Case-Control Studies Support Vector Machine Diagnosis, Computer-Assisted Discriminant Analysis Cognitive Dysfunction Electroencephalography Signal Processing, Computer-Assisted
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Increasing the confidence of F-Florbetaben PET interpretations: Machine learning quantitative approximation.

Revista espanola de medicina nuclear e imagen molecular Apr 21, 2021
AIM: To assess the added value of semiquantitative parameters on the visual assessment and to study the patterns of F-Florbetaben brain deposition.
Alzheimer Disease Humans Aniline Compounds Machine Learning Positron-Emission Tomography Retrospective Studies Stilbenes Amyloid beta-Peptides
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Artificial intelligence and leukocyte epigenomics: Evaluation and prediction of late-onset Alzheimer's disease.

PloS one Mar 31, 2021
We evaluated the utility of leucocyte epigenomic-biomarkers for Alzheimer's Disease (AD) detection and elucidates its molecular pathogeneses. Genome-wide DNA methylation analysis was performed using the Infinium MethylationEPIC BeadChip array in 24 l...
Sensitivity and Specificity Male Case-Control Studies Deep Learning Genome-Wide Association Study Epigenesis, Genetic Epigenomics Signal Transduction DNA Methylation Prognosis Humans Female Biomarkers Leukocytes Aged Alzheimer Disease Aged, 80 and over CpG Islands Late Onset Disorders
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Recent Advances in Imaging of Preclinical, Sporadic, and Autosomal Dominant Alzheimer's Disease.

Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics Mar 29, 2021
Observing Alzheimer's disease (AD) pathological changes in vivo with neuroimaging provides invaluable opportunities to understand and predict the course of disease. Neuroimaging AD biomarkers also allow for real-time tracking of disease-modifying tre...
Amyloid beta-Peptides Alzheimer Disease Positron-Emission Tomography Humans tau Proteins Neuroimaging Machine Learning Biomarkers Longitudinal Studies Magnetic Resonance Imaging
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Prediction of tau accumulation in prodromal Alzheimer's disease using an ensemble machine learning approach.

Scientific reports Mar 11, 2021
We developed machine learning (ML) algorithms to predict abnormal tau accumulation among patients with prodromal AD. We recruited 64 patients with prodromal AD using the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset. Supervised ML approa...
ROC Curve Alzheimer Disease tau Proteins Prodromal Symptoms Female Aged Male Humans Cognitive Dysfunction Machine Learning Algorithms Biomarkers
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