Dementia

Innovations in dementia education in health sciences: curriculum design and partnerships across three countries.

As dementia prevalence rises globally, health sciences education must evolve to prepare future professionals across disciplines to provide person-centered care. This brief report provides a descriptive summary of dementia education initiatives presented during a 2025 Universitas 21 Health Sciences Group plenary session, showcasing innovations across institutions in Canada, the United Kingdom, and ...

Artificial Intelligence Chatbots and Large Language Models for Traumatic Dental Injury Management and Decision Support: A Systematic Review With Function-Based Narrative Synthesis and Exploratory Meta-Analysis.

Traumatic dental injuries require rapid, accurate, and context-sensitive decisions, particularly during emergencies such as tooth avulsion, luxation injuries, and trauma involving the primary dentition. Artificial intelligence (AI) chatbots and large language models (LLMs) are increasingly used by patients, caregivers, students, and clinicians for immediate information and decision support, yet th...

A comparative study of vision transformer architectures for the detection of Alzheimer's disease using magnetic resonance images.

Alzheimer's disease is a neurodegenerative disease that affects millions of people worldwide. With the increasing global elderly population, early and...

Dementia Etiology Diagnosis via Collaborative Meta Knowledge Enhancement.

Although artificial intelligence (AI) has shown promising performance in several medical tasks, accurate dementia etiology diagnosis with AI remains c...

Deep learning-derived magnetic resonance imaging masseter muscle volume is associated with oral impairment and cognitive frailty in older Japanese adults.

BACKGROUND AND OBJECTIVES: The masseter muscle is associated with oral impairment and age-related functional decline, yet scalable and objective indic...

Manifold representation learning for Alzheimer's disease detection with EEG-based functional brain connectivity.

Alzheimer's disease (AD) is a common neurodegenerative disease characterized by severe cognitive dysfunctions and brain disorders. The emergence of de...

Explainable 3D deep learning from full-head MRI suggests scalp and skull involvement in Alzheimer's disease.

BackgroundEmerging evidence suggests that extracranial tissues and immune-glymphatic interactions may contribute to neurodegenerative processes in Alz...

Demographic Confounding in Voice-Based Parkinson Disease Screening: Methodological Analysis of the Bridge2AI Voice Dataset.

BACKGROUND: Voice-based deep learning models for Parkinson disease (PD) and dementia screening report areas under the curve (AUCs) of 0.85-0.97, but r...

Performance of Two AI Approaches in ASReview Compared With Manual Screening for Dementia Care Literature Screening: Comparative Analysis.

BACKGROUND: Literature reviews rely on rigorous title and abstract screening by researchers, which is time-consuming. AI-assisted literature screening...

SCRIB is a Shared Transcriptomic Biomarker Candidate Linking Cardioembolic Stroke and Alzheimer's Disease.

Acute ischemic stroke is a major cause of death and disability, and post-stroke cognitive impairment remains a major clinical challenge. Cardioembolic...

Carboxyl-terminal blockade of sortilin binding enhances progranulin gene therapy in a mouse model of frontotemporal dementia.

Frontotemporal dementia is commonly caused by loss-of-function mutations in the progranulin gene. Potential therapies for this disorder have entered c...

AI-assisted FTIR spectroscopic profiling of exosomes: Emerging frontiers in early detection of Alzheimer's disease.

Alzheimer's disease (AD) remains one of the most challenging neurodegenerative disorders, primarily due to the lack of reliable tools for its early an...

Disease-specific tau polymorphs are associated with unique protein networks across proteinopathies.

Tau protein aggregates adopt distinct conformations across tauopathies, yet the protein interactions engaged by disease-specific polymorphs remain poo...

Characterization of Genetic Risk Factors of Cerebral Small Vessel Disease Based on Large-scale Transcriptome Profiling.

Cerebral small vessel disease (CSVD) is a major contributor to stroke and dementia, and it endangers the health of older individuals (>50 years old). ...

Quantification of practice effects in a self-administered online cognitive pre-screening test.

BACKGROUND: With growing prevalence of mild cognitive impairment and dementia, online self-administered pre-screening tests hold the promise to more o...

Multimodal MRI insights into hippocampal pathological changes across the Alzheimer's disease continuum: advances and challenges.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder, with early and progressive hippocampal pathology serving as a hallmark across th...

Graph theory identifies altered prefrontal microcircuit organization in Shank3 mice, a mouse Model of autism.

Graph theory provides unique tools to assess complex networks. It has been previously used with functional magnetic resonance imaging (fMRI) datasets ...

Better sleep now, better cognition later? Predicting cognitive function using a machine learning-based sleep EEG brain health score.

STUDY OBJECTIVES: Sleep state electrocortical activity measured using electroencephalograms (EEG) is linked with cognitive function and dementia risk....

Deep Learning-Based Enhancement of Already Diagnostic-Quality MRI for Alzheimer's Disease Classification: Effects on Model Performance and Training Data Requirements.

BACKGROUND: Deep learning (DL)-based image enhancement is widely used to improve suboptimal medical imaging. Whether it also benefits diagnostic-quali...

Development and validation of an amyloid PET dementia of the Alzheimer's type (DAT) score.

BackgroundAlzheimer's disease (AD) can be debilitating if left untreated, but its progression may be altered through early detection.ObjectiveTo devel...