Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
Noisy annotations pose a significant challenge for supervised deep learning, as neural networks rely...
Artificial intelligence applied to routine electrocardiograms (ECGs) has largely focused on detectin...
Background: The Centiloid (CL) scale standardizes global amyloid PET quantification and is widely us...
Electroencephalography (EEG) is a promising, non-invasive, and cost-effective modality for Alzheimer...
Agitation fluctuates over short time horizons in people living with dementia, yet continuous physiol...
Individuals with Down syndrome (DS) display developmental delay, intellectual disability, premature ...
BACKGROUND: Accumulations of AD and LATE-NC both contribute to changes in hippocampal volume, possib...
Biological heterogeneity in Alzheimer's Disease (AD) poses a critical diagnostic challenge, particul...
Neuropsychiatric symptoms (NPS) are increasingly recognized as critical components of the disease pr...
Early identification of cognitive impairment remains challenging in settings where comprehensive cog...
Spoken-language analysis via prompt-based domain-adaptive models is a promising direction for low-re...
Aging is a progressive decline in biological function that is proposed to be driven by the accumulat...
Background and Objectives: Word-finding difficulty is common in healthy aging and in neurologic diso...
Material replacement is a common interior-design operation: changing the material of a selected surf...
Background Glucagon-like peptide-1 (GLP-1) receptor agonists and sodium-glucose cotransporter-2 (SGL...
In Alzheimer's disease (AD), misfolded proteins emerge across the entire brain in structured, yet no...
Abstract EEG foundation models (EEG-FMs) are evaluated almost entirely on disease-discrimination acc...
Brain-age models derived from diffusion MRI-based structural connectomes may provide imaging biomark...
Anti-amyloid therapies and blood-based biomarkers are changing Alzheimer disease workups into a two-...
Background and Objectives: Subjective cognitive decline (SCD), self-reported worsening confusion or ...
Explainability methods applied to deep learning models for Alzheimer's disease neuroimaging produce ...