Dementia

A Comprehensive Self-Medication Management System to Reduce Medication Errors Among People Living With Dementia: Mixed Methods Feasibility and Usability Study.

BACKGROUND: Medication adherence is a critical challenge for people living with dementia and their caregivers. Standard care relies on appropriate medication management, yet there are few effective options beyond manual pill-counting and caregiver-administered dosing. These methods are prone to errors and impose a significant burden. Technologically enhanced adherence tools include smart caps, rem...

Developments in the design and therapeutic applications of GSK3β inhibitors.

Glycogen synthase kinase-3β (GSK3β) has emerged as one of the most thoroughly validated therapeutic targets in modern drug discovery, with dysregulation implicated in neurodegenerative diseases, metabolic disorders, cancer, psychiatric conditions, and inflammatory pathologies. This review provides a comprehensive and critical overview of recent advances in GSK3β inhibitor design, encompassing ATP-...

AI-driven multimodal retinal imaging for early detection and risk stratification of vascular and neurodegenerative diseases.

Systemic vascular and neurodegenerative disorders are important causes of disability and death worldwide, mainly because of the late stage of diagnosi...

An Automated Framework and Medical Intelligent System for MRI-Based Alzheimer's Diagnosis Classification.

In the era of artificial intelligence (AI), Alzheimer's disease (AD) can be diagnosed through magnetic resonance imaging (MRI) at accurate times and w...

Dementia Prediction Using Gait Analysis and Machine Learning.

Dementia is a progressive neurodegenerative disorder affecting millions of people worldwide. Early prediction of dementia, especially during the mild ...

A Zoo of AI Transparency Indicators: What Do Users Want (and Need) in Hospitals?

Artificial intelligence (AI), whether generative, specialized, or agent-based, is increasingly integrated into the daily lives of many citizens. In he...

Predicting future dementia from routine clinical MRI and linked healthcare data.

BACKGROUND: Early identification of individuals at risk of dementia is essential for preventive care and timely enrolment into disease-modifying inter...

Artificial intelligence for detection and staging of Alzheimer's disease using retinal images.

This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: To determine the diagnostic accuracy of AI algorithm-based retin...

Decoding shared pathogenic networks of oxidative stress in neuropsychiatric disorders to prioritize multi-target therapeutics from natural products.

BACKGROUND: Neurodegenerative and psychiatric disorders, including Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and ...

Prediction of cognitive impairment through speech data analysis: A comparative evaluation of deep learning models.

BACKGROUND: The early detection of cognitive impairments, such as mild cognitive impairment (MCI) and Alzheimer's disease (AD), is essential for timel...

A hybrid CNN-GCN framework for interpretable Alzheimer's disease diagnosis from MRI scans.

Medical image analysis for Alzheimer's Disease (AD) diagnosis faces two key challenges: capturing spatial dependencies between anatomically connected ...

Quality of Responses Generated by Artificial Intelligence Chatbots for Frequently Asked Questions by Caregivers of Presurgical Nasoalveolar Molding Therapy.

ObjectiveThe study compared the quality of responses generated by three artificial intelligence chatbots (AICs) for frequently asked questions (FAQs) ...

Comparing Stakeholders' Perspectives on Parkinson Disease Management and Digital Technologies: Exploratory International Survey.

BACKGROUND: Parkinson disease (PD) is a progressive neurodegenerative disorder that poses complex challenges for persons with PD, informal caregivers,...

Artificial intelligence and neurodegeneration: state of the art and explainability.

BACKGROUND: Alzheimer disease (AD) and Parkinson disease (PD) are an increasing healthcare concern and growing cause of disability in our century. The...

Re: Clarifying comparative claims in digital cognitive assessment: Assessing concurrent validity in a shared cohort.

In response to correspondence from Cognivue, Inc. regarding our publication (Jannati et al., 2025), we clarify that our analysis employed a rigorous p...

Clarifying comparative claims in digital cognitive assessment: a matters arising on multimodal detection of cognitive impairment and amyloid positivity.

Digital cognitive assessments represent an important and rapidly evolving approach to detecting cognitive impairment and Alzheimer's disease-related p...

"There's not one part of the programme that hasn't been useful in my clinical practice": undergraduate nursing students' views and experiences of a Dementia Education Program.

Preparing nursing students to provide high-quality, person-centered dementia care is a global priority, yet most research has focused on measuring edu...

Determinants of Medical Help-Seeking Behavior Following Case Finding of Early Cognitive Impairment: Semistructured Interview Study of Patients and Caregivers.

BACKGROUND: Timely medical follow-up after a diagnosis of cognitive impairment, such as mild cognitive impairment (MCI) or dementia, is imperative for...

Biomarkers in preclinical and early Alzheimer's disease in China: a scoping review.

This scoping review synthesizes evidence on fluid and neuroimaging biomarkers for preclinical and early Alzheimer's disease (AD)-including mild cognit...

A novel diagnosis method based on multimodal-aware bi-objective competitive mechanism for Alzheimer's disease.

Alzheimer's disease (AD) is one of the most prevalent neurodegenerative disorders. Recent statistical surveys and studies indicate that AD is poised t...