Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
BACKGROUND: Early identification of individuals at risk of dementia is essential for preventive care and timely enrolment into disease-modifying interventions. However, most existing prediction approaches rely on invasive, costly, or research-only biomarkers that are not scalable within public healthcare systems. Routinely acquired National Health Service (NHS) brain magnetic resonance imaging (MR...
This is a protocol for a Cochrane Review (diagnostic). The objectives are as follows: To determine the diagnostic accuracy of AI algorithm-based retinal image reading for detecting referral-requiring Alzheimer's disease in adults who have behavioral symptoms or cognitive decline in the primary care setting. Secondary objectives Where data are available, we will investigate heterogeneity by incorpo...
BACKGROUND: Neurodegenerative and psychiatric disorders, including Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and ...
BACKGROUND: The early detection of cognitive impairments, such as mild cognitive impairment (MCI) and Alzheimer's disease (AD), is essential for timel...
Medical image analysis for Alzheimer's Disease (AD) diagnosis faces two key challenges: capturing spatial dependencies between anatomically connected ...
ObjectiveThe study compared the quality of responses generated by three artificial intelligence chatbots (AICs) for frequently asked questions (FAQs) ...
BACKGROUND: Parkinson disease (PD) is a progressive neurodegenerative disorder that poses complex challenges for persons with PD, informal caregivers,...
In response to correspondence from Cognivue, Inc. regarding our publication (Jannati et al., 2025), we clarify that our analysis employed a rigorous p...
Digital cognitive assessments represent an important and rapidly evolving approach to detecting cognitive impairment and Alzheimer's disease-related p...
Preparing nursing students to provide high-quality, person-centered dementia care is a global priority, yet most research has focused on measuring edu...
BACKGROUND: Timely medical follow-up after a diagnosis of cognitive impairment, such as mild cognitive impairment (MCI) or dementia, is imperative for...
This scoping review synthesizes evidence on fluid and neuroimaging biomarkers for preclinical and early Alzheimer's disease (AD)-including mild cognit...
Alzheimer's disease (AD) is one of the most prevalent neurodegenerative disorders. Recent statistical surveys and studies indicate that AD is poised t...
The lack of validated stage-specific biomarkers hampers the understanding of Alzheimer's disease (AD) progression and clinical translation. Current tr...
Iron (Fe) and copper (Cu) are vital micronutrients that regulate many critical physiological processes in the human body, with their homeostasis in th...
BACKGROUND: Inflammatory and infiltrative cardiomyopathies, including cardiac sarcoidosis, transthyretin amyloidosis, and autoimmune myocarditis, are ...
IMPORTANCE: Disruptions in the sleep-wake cycle have been reported in the preclinical period of dementia; whether they contribute to dementia predicti...
Deep learning (DL) has shown success in predicting Alzheimer's disease (AD) diagnosis, yet continuous measures such as cognitive assessment remain cri...
Cardiac activity monitoring is important for assessing cardiovascular status and supporting computational analysis of heart-rate pattern variations fr...
Dementia research often suffers from methodological pitfalls such as label-information and subject-information leakages. Leveraging the longitudinal O...