Abstract Medical applications of Artificial Intelligence (AI) have consistently shown
remarkable performance in providing medical professionals and patients with support for …

Dementia diseases are increasing rapidly, according to the World Health Organization
(WHO), becoming an alarming problem for the health sector. The electroencephalogram …

Background Identifying cognitive impairment early enough could support timely intervention
that may hinder or delay the trajectory of cognitive impairment, thus increasing the chances …

Alzheimer's Disease is a complex, multifactorial, and comorbid condition. The asymptomatic
behavior in the early stages makes the identification of the disease onset particularly …

Previous researchers have proposed intelligent systems for therapeutic monitoring of
cognitive impairments. However, most existing practical approaches for this purpose are …

Machine learning algorithms are currently being implemented in an escalating manner to
classify and/or predict the onset of some neurodegenerative diseases; including Alzheimer's …

Elderly people affected by Mild Cognitive Impairment (MCI) usually report a perceived
decline in cognitive functions that deeply impacts their quality of life. This subtle waning …

Objectives: This study firstly aimed to explore predicting cognitive impairment at an early
stage using a large population-based longitudinal survey of elderly Chinese people. The …

Cognitive impairment in Parkinson's disease (PD) is pervasive with potentially devastating
effects. Identification of those at risk for cognitive decline is vital to identify and implement …

Proton pump inhibitors (PPIs) are among the most prescribed medications. Previous
epidemiological studies have presented contradictory results about PPIs and the risk of …