Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
Consumer artificial intelligence chatbots are now accessed by hundreds of millions of users seeking health information, yet systematic evaluation of their safety boundary maintenance under real-world caregiver pressure remains scarce. We evaluated PediatricSafetyBench-v2, a benchmark of 600 pediatric health queries comprising 300 authentic caregiver queries sourced from the HealthCareMagic-100k-en...
BACKGROUND: Dementia affects over 55 million people worldwide. Mild cognitive impairment (MCI) often precedes Alzheimer's disease (AD). Clinical management requires integrating uncertain evidence from neuropsychological testing, neuroimaging, and biomarkers. Large language models (LLMs) also generate probabilistic outputs, but whether they can reliably support diagnostic, therapeutic, or education...
Polymeric long-acting injectables (LAIs) are among the most impactful yet least predictable drug delivery systems, as their performance emerges from a...
BACKGROUND: Behavioural and psychological symptoms of dementia (BPSD) affect over 90% of people living with dementia and are a major contributor to st...
Although multi-omics studies have increasingly revealed molecular alterations associated with epilepsy, clinically accessible cerebrospinal fluid (CSF...
Neurodegenerative diseases are biologically heterogeneous disorders characterized by progressive neuronal dysfunction, overlapping molecular pathologi...
ChatGPT has seen increased use by caregivers as a source of medical information. Pediatric neurology has added complexities because there are various ...
BACKGROUND: Mitochondrial dysfunction and neuroinflammation are critically implicated in the pathogenesis of Alzheimer's disease (AD). However, a syst...
Amyloid-β (Aβ) plaque accumulation is a crucial hallmark of Alzheimer's disease, and fluorescence imaging can support disease diagnosis and monitoring...
BACKGROUND: Online health communities (OHCs) are important channels for families of children with autism spectrum disorder to obtain health informatio...
BACKGROUND: Physical frailty, characterized by heightened sensitivity to stressors and decreased physiological reserves, is an established risk factor...
UNLABELLED: To enhance the prediction progression of Alzheimer's Disease is very excavating process. PROBLEM STATEMENT: It is often very difficult to ...
Adaptive functioning typically aligns with cognitive ability in the general population, but this relationship appears more complex in neurodivergent p...
Early diagnosis of Alzheimer's disease (AD), especially accurate identification at the mild cognitive impairment (MCI) stage, is crucial for slowing d...
Neurological disorders refer to a diverse group of conditions that affect the brain, peripheral nerves, and spinal cord and impair socioemotional, cog...
Age-related cognitive dysfunction, including mild cognitive impairment and dementia, underscores the need for scalable and personalized predictive mod...
Among various modifiable risk factors, dietary patterns (DPs), as a holistic lifestyle intervention, have become a focus of current research due to th...
BACKGROUND: Asynchronous online forums provide flexible, accessible peer support for many people living with dementia and carers. Moderators are centr...
Amnestic mild cognitive impairment (aMCI) is often considered an early clinical stage of Alzheimer's disease (AD), but its subtle presentation leads t...
The recent rapid development of mobile and wearable sensing technologies and computational modeling has allowed for high-density and continuous measur...