Dementia

Graph empirical mode decomposition and multiscale feature extraction for EEG-based classification of Alzheimer's disease and frontotemporal dementia.

BACKGROUND AND OBJECTIVE: Early and correct classification of neurodegenerative diseases like Alzhei...

Using artificial intelligence (CognoSpeak™) in memory assessments: a GP interview study.

BACKGROUND: The memory assessment pathway (MAP) for people with subjective memory deficits (dementia...

Generative artificial intelligence in dementia care: a scoping review protocol on nursing roles, experiences and ethical perspectives.

INTRODUCTION: Generative artificial intelligence (GAI), including large language models and multimod...

TASNet: A tri-modal attentive scale robust adaptive fusion framework for progressive mild cognitive impairment classification.

BACKGROUND: Accurate prediction of progressive Mild Cognitive Impairment (pMCI) versus stable MCI (s...

Sleep disturbances and Alzheimer's disease: a multiscale approach from exposome to neurobiology and precision medicine.

Sleep disturbances and Alzheimer's disease (AD) are interconnected public health challenges. However...

AI and Wearables for Early Detection of Cognitive Impairment and Dementia: Systematic Review.

BACKGROUND: Traditional cognitive screening relies on episodic clinical assessments and may miss ear...

Real-time intraoperative confocal laser endomicroscopy with on-site neuropathologist consultation for glioma margin assessment: illustrative case.

BACKGROUND: Achieving maximal safe resection in glioma surgery requires accurate real-time margin as...

Vocal biomarkers for geriatric health assessment: a scoping review protocol.

INTRODUCTION: Global ageing populations require accessible, non-invasive tools for early detection a...

Gradient magnitude-based texture feature of the entorhinal cortex as a biomarker for Alzheimer's disease.

Volumetric analysis of brain structures is widely used to detect pathological changes in Alzheimer's...

Comparative Analysis of Deep Learning Techniques in Alzheimer's Disease Diagnosis: Trends, Challenges, and Future Directions.

Alzheimer's disease is a slow, progressive neurological disorder that impacts the brain tissue and c...

Unraveling the role of polyamine metabolism in postoperative delirium: insights into biochemical mechanisms and biomarker potential.

Postoperative delirium (POD) is a common complication in older surgical patients, linked to long-ter...

Patients and Caregivers Leveraging AI to Improve Their Health Care Journey: Case Study and Lessons Learned.

Artificial intelligence (AI) is increasingly integrated into everyday life. Yet in health care, pati...

Multimodal graph fusion-based GCN for Alzheimer's disease diagnosis using fMRI and T1-weighted MRI.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder marked by both structural atrop...

Subregional limbic radiomics on FDG-PET provides accurate early detection of Alzheimer's disease.

BACKGROUND: To investigate the radiomics features of the hippocampus and the amygdala subregions in ...

Gut-brain axis-mediated mechanisms and immune regulatory pathways in vascular dementia: insights into microbiota-derived metabolites and novel therapeutic strategies.

BACKGROUND: Vascular dementia (VaD), known for cognitive issues and cerebrovascular irregularities, ...

Privacy-preserving multimodal fusion for Alzheimer's staging: A federated vision transformer framework with explainable AI.

Accurate, early-stage staging of Alzheimer's disease (AD) is critical for therapeutic intervention b...

Turning versus straight walking under dual-task conditions: a preliminary study for identifying mild cognitive impairment and Alzheimer's disease.

Deep learning models identify brain changes during the progression of Alzheimer's disease.

Alzheimer's disease (AD) is an irreversible neurodegenerative disorder whose progression is closely ...

Brain age prediction in a multiethnic Asian population: A comparison of machine learning algorithms and their application for early-stage cognitive impairment diagnosis.

BackgroundNeuroimaging-derived brain age is a promising biomarker of early neurodegeneration, but me...

Insights on Recruitment, Implementation, and Movement Pattern Detection by Exploring the Feasibility of Sensor-Based Insole Technology in Long-Term Care: Mixed Methods Feasibility Study.

BACKGROUND: Sensor-based footwear is increasingly discussed as a promising tool for mobility monitor...

Neuropathologic basis of quantitative susceptibility mapping in the substantia nigra: contributions of tau, pigmented neurons, and iron.

Quantitative susceptibility mapping (QSM) on MRI quantifies tissue magnetic susceptibility, which in...