Latest AI and machine learning research in alzheimer's disease for healthcare professionals.
Sleep disturbances and Alzheimer's disease (AD) are interconnected public health challenges. However, the underlying mechanisms of their complex relationships remain elusive. Here, we propose a hypothetical integrative, stream-like model outlining how external and internal exposome factors accelerate brain aging, thereby exacerbating circadian dysregulation, orexin-mediated hyperexcitability, meta...
BACKGROUND: Traditional cognitive screening relies on episodic clinical assessments and may miss early changes preceding cognitive impairment and dementia. Wearable and mobile health technologies enable continuous monitoring of sleep, physical activity, and circadian rhythms, generating digital biomarkers that may support scalable early detection and prevention. However, current evidence remains f...
INTRODUCTION: Global ageing populations require accessible, non-invasive tools for early detection and monitoring of neurological chronic and neurodeg...
Volumetric analysis of brain structures is widely used to detect pathological changes in Alzheimer's disease (AD), but it has limited sensitivity to s...
Alzheimer's disease is a slow, progressive neurological disorder that impacts the brain tissue and causes cells to die, the most common reason for dem...
Postoperative delirium (POD) is a common complication in older surgical patients, linked to long-term cognitive decline and progression to dementia, y...
BACKGROUND AND OBJECTIVE: Neuroimaging AI systems increasingly influence clinical decisions, yet demographic exclusions in training datasets may compr...
BACKGROUND: Inadequate preventive dental care may contribute to inflammatory conditions such as periodontitis, increasing cardiovascular disease risk....
Artificial intelligence (AI) is increasingly integrated into everyday life. Yet in health care, patients and families are challenged to understand how...
BACKGROUND: To investigate the radiomics features of the hippocampus and the amygdala subregions in FDG-PET images that can best differentiate Mild Co...
BACKGROUND: Vascular dementia (VaD), known for cognitive issues and cerebrovascular irregularities, is a common dementia type, but its molecular under...
Accurate, early-stage staging of Alzheimer's disease (AD) is critical for therapeutic intervention but is hampered by data privacy regulations, multim...
Alzheimer's disease (AD) is an irreversible neurodegenerative disorder whose progression is closely associated with time. However, most diagnostic mod...
Currently a large number of people living in long-term care facilities suffer from cognitive disorders such as dementia. In this context, new robotic ...
Insulating sheaths of myelin accelerate neuronal communication in the mammalian brain. Oligodendrocytes that produce myelin are generated throughout l...
BackgroundNeuroimaging-derived brain age is a promising biomarker of early neurodegeneration, but methodological variation in machine learning (ML) al...
BACKGROUND: Sensor-based footwear is increasingly discussed as a promising tool for mobility monitoring and fall-risk assessment, yet its applicabilit...
Quantitative susceptibility mapping (QSM) on MRI quantifies tissue magnetic susceptibility, which increases with iron accumulation, myelin loss, and n...
BACKGROUND: Automated approaches to cognitive impairment screening may soon achieve sufficient levels of accuracy for clinical implementation but they...