Geriatrics

Alzheimer's Disease

Latest AI and machine learning research in alzheimer's disease for healthcare professionals.

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Geriatrics Subcategories: Alzheimer's Disease Medicare
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Deep Learning and Machine Learning for Early Detection of Alzheimer's Disease: A Systematic Review and Meta-Analysis

Alzheimer's disease is a progressive neurodegenerative disorder that poses a growing global public h...

The YTHDF proteins shape the brain gene signatures of Alzheimer's disease

The gene signatures of Alzheimer's Disease (AD) brains reflect an output of a complex interplay of g...

Automatic segmentation of choroid plexus using deep learning across neurodegenerative diagnoses in the multi-site COMPASS-ND Study

The choroid plexus (ChP) plays a central role in cerebrospinal fluid production, immune signaling, a...

petVAE: A Data-Driven Model for Identifying Amyloid PET Subgroups Across the Alzheimer's Disease Continuum

Amyloid-{beta} (A{beta}) PET imaging is a core biomarker and is sufficient for the biological diagno...

PROCESS-2: A Benchmark Speech Corpus for Early Cognitive Impairment Detection

Speech-based analysis offers a scalable and non-invasive approach for detecting cognitive decline, y...

DeepTokenEEG Enhancing Mild Cognitive Impairment and Alzheimers Classification via Tokenized EEG Features

The detection of Alzheimers disease (AD) is considered crucial, as timely intervention can improve p...

When Brains Disagree: Biological Ambiguity Underlies the Challenge of Amyloid PET Synthesis from Structural MRI

Structural MRI-to-amyloid PET synthesis has been proposed as a non-invasive alternative for amyloid ...

Generating synthetic tau-PET scans in Alzheimer's disease from MRI, blood biomarkers and demographics with deep learning

Tau protein aggregation in the brain is a hallmark of Alzheimer's disease (AD). Positron emission to...

Gene-Modulated Network Diffusion for Improved Modeling of Amyloid-β Spread in Alzheimer's Disease

Understanding the pathogenesis of amyloid-{beta} pathology in Alzheimer's Disease (AD) proves to be ...

AG-TAL: Anatomically-Guided Topology-Aware Loss for Multiclass Segmentation of the Circle of Willis Using Large-Scale Multi-Center Datasets

Accurate multiclass segmentation of the Circle of Willis (CoW) is essential for neurovascular diseas...

Evaluating TabPFN for Mild Cognitive Impairment to Alzheimer's Disease Conversion in Data Limited Settings

Accurate prediction of conversion from Mild Cognitive Impairment (MCI) to Alzheimers Diseases (AD) i...

Electrocardiogram-based deep learning enables scalable screening of transthyretin amyloid cardiomyopathy

Transthyretin amyloid cardiomyopathy (ATTR -CM) is a treatable but underrecognized cause of heart fa...

BETA: Resting-state fMRI Biotypes for tDCS Efficacy in Anxiety Among Older Adults At Risk For Alzheimer's Disease

Anxiety is usually gauged by self-report, yet a single symptom level can reflect disparate neural ci...

Task-guided Spatiotemporal Network with Diffusion Augmentation for EEG-based Dementia Diagnosis and MMSE Prediction

Patients with dementia typically exhibit cognitive impairment, which is routinely assessed using the...

Prognosis of stroke subtypes in whole population health systems data: a matched cohort study

Background Outcome after stroke varies according to stroke subtype by location, but healthcare syste...

Foundation models for discovering robust biomarkers of neurological disorders from dynamic functional connectivity

Several brain foundation models (FM) have recently been proposed to predict brain disorders by model...

Predictive Modeling of Natural Medicinal Compounds for Alzheimer Disease Using Cheminformatics

The most common cause of dementia is Alzheimer disease, a progressive neurodegenerative disorder aff...

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