Neurology

Dementia

Latest AI and machine learning research in dementia for healthcare professionals.

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Interpretable MRI-Based Deep Learning for Alzheimer’s Risk and Progression

Timely intervention for Alzheimer’s disease (AD) requires early detection. The development of immuno...

Integrative Machine Learning Approach to Risk Prediction for Dementia and Alzheimer’s Disease

Dementia, especially Alzheimer’s disease (AD), is a major global health challenge marked by progress...

Automated Detection of Early-Stage Dementia Using Large Language Models: A Comparative Study on Narrative Speech

The growing global burden of dementia underscores the urgent need for scalable, objective screening ...

Cross-dataset Evaluation of Dementia Longitudinal Progression Prediction Models

Accurately predicting Alzheimer’s Disease (AD) progression is useful for clinical care. The 2019 TAD...

Multi-Orientation Hippocampus-Centered 3D CNN with Attention Mechanism for Alzheimer’s Disease Classification from MRI Scans

Alzheimer’s disease detection faces challenges in capturing hippocampal atrophy across multiple anat...

CharMark: A Markov Approach to Linguistic Biomarkers in Dementia

Dementia, one of the most prevalent neurodegenerative diseases, affects millions worldwide. Understa...

A 60-Second Interpretable Voice Model for Early Dementia Screening

Early detection of cognitive impairment in assisted living is hindered by time-intensive tools like ...

Multimodal Integration of Alzheimer’s Plasma Biomarkers, MRI, and Genetic Risk for Individual Prediction of Cerebral Amyloid Burden

Alzheimer’s disease (AD), the most prevalent neurodegenerative disorder, is marked by the accumulati...

Multivariate whole brain neurodegenerative-cognitive-clinical severity mapping in the Alzheimer’s disease continuum using explainable AI

Neurodegeneration and cognitive impairment are commonly reported in Alzheimer’s disease (AD); howeve...

Improving Responsiveness in Game-based Cognitive Assessment for Mild Cognitive Impairment

Mild Cognitive Impairment (MCI) affects up to 20% of older adults and often progresses to dementia. ...

Automatic screening and characterization of patients with acquired neurological conditions from language

Individuals with left-hemisphere damage (LHD), right-hemisphere damage (RHD), dementia, mild cogniti...

Postmortem Validation of Quantitative MRI for White Matter Hyperintensities in Alzheimer’s Disease

White matter hyperintensities (WMH) are frequently observed on MRI in aging and Alzheimer’s disease ...

Artificial intelligence applications for dementia: A systematic review for clinical research

Artificial intelligence and emerging technologies are driving a transformative shift in society, par...

Identifying Sex-Specific Sub-phenotypes of Alzheimer’s Disease Progression Using Longitudinal Electronic Health Records

Alzheimer’s Disease (AD) is a complex neurodegenerative disorder strongly influenced by sex differen...

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