Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
INTRODUCTION: Seizure control is the primary therapeutic goal in pediatric epilepsy, yet its multidimensional impact on health-related quality of life (HRQoL) and family functioning remains insufficiently defined. This study examined the association between seizure control status and HRQoL in Chinese children with epilepsy, and explored correlates of seizure control. METHODS: In this prospective q...
BACKGROUND: Although large language models (LLMs) show potential for patient education, their accuracy, usability, and comprehensibility lack validation in high-risk pediatric anesthesia. Rigorous evaluation is therefore essential prior to widespread clinical use in perioperative parental anesthesia education. OBJECTIVE: This study aims to evaluate the accuracy, reliability, and readability of res...
BACKGROUND: Family caregivers experience conflicts in caring for people with Alzheimer's dementia (PWD; e.g., siblings disagreeing, advocating with pr...
Heparan sulfate (HS) proteoglycans are abundant, sulfation-patterned glycosaminoglycans on brain cells and the neurovascular unit that interact with a...
BackgroundThe systemic, metabolic, lifestyle factors have established associations with Alzheimer's disease (AD) through epidemiologic and AD-specific...
BACKGROUND: Everyday listening ability is essential for individual health and well-being. Age-related hearing loss (ARHL) is associated with reduced c...
The quick and accurate diagnosis of Alzheimer's disease (AD) and Frontotemporal Dementia (FTD) is a significant and unresolved challenge in clinical n...
UNLABELLED: Mild cognitive impairment (MCI) is a heterogeneous condition, with up to 40% of patients progressing to dementia within three years of cli...
PURPOSE: Amyloid (A) deposition represents a specific pathological hallmark of Alzheimer's disease (AD). Clinical diagnostic protocols frequently rely...
With the rapid development of artificial intelligence and medical image analysis, MRI-based automated diagnosis has provided an effective approach for...
IMPORTANCE: Cognitive impairment (CI) is often underdetected in primary care due to time and resource constraints. Passive analysis of clinical dialog...
BACKGROUND AND OBJECTIVES: Population aging and the rising prevalence of Alzheimer's Disease and Related Dementias (AD/ADRD) have created an urgent ne...
Alzheimer's disease (AD) plasma and cerebrospinal fluid (CSF) proteomics can distinguish AD from cognitively normal controls, but the generalizability...
Aging is asynchronous across cells and organs. Here we tested whether plasma proteomics can be used to analyze cell type-specific aging. From analyses...
We previously proposed an MRI-based machine learning model to describe the mesoscopic architecture of the human brain to aid in classifying subjects a...
Falls remain a leading cause of injury-related morbidity and mortality among adults aged 65 and older, and these human and economic costs keep rising ...
Isolated rapid eye movement sleep behavior disorder (iRBD) is a major prodromal marker of α-synucleinopathies, often preceding the clinical onset of P...
BACKGROUND AND OBJECTIVES: Dementia's rising prevalence places an immense burden on caregivers. Knowledge Graphs (KGs) and Large Language Model (LLM)-...
BACKGROUND: The relevance of covert cerebrovascular disease (CCD) in practice is uncertain, partly because estimation of risk in whole clinical popula...
BACKGROUND AND OBJECTIVES: Amyloid deposition in the ligamentum flavum (LF) occurs in 25% to 45% of patients with lumbar stenosis (LS). Amyloid-positi...