The subjectivity and inaccuracy of in-clinic Cognitive Health Assessments (CHA) have led
many researchers to explore ways to automate the process to make it more objective and to …

In the context of advancing healthcare, the diagnosis and treatment of cognitive disorders,
particularly Mild Cognitive Impairment (MCI) and Alzheimer's Disease (AD), pose significant …

Background Artificial intelligence models tailored to diagnose cognitive impairment have
shown excellent results. However, it is unclear whether large linguistic models can rival …

Artificial intelligence (AI) and machine learning (ML) approaches are increasingly being
used in dementia research. However, several methodological challenges exist that may limit …

There are conventional screening instruments for the detection of cognitive impairment, but
they have a reduced ecological validity and the information they present could be biased …

Remote monitoring of cognition holds the promise to facilitate case-finding in clinical care
and the individual detection of cognitive impairment in clinical and research settings. In the …

Objective To evaluate the cognitive abilities of the leading large language models and
identify their susceptibility to cognitive impairment, using the Montreal Cognitive Assessment …

Introduction: Timely detection of cognitive impairment such as mild cognitive impairment
(MCI) or dementia is pivotal in initiating early interventions to improve patients' quality of life …

Background: Cognitive screening tools are important in the detection of dementia, including
Alzheimer's disease; however, they may contain cultural biases. Objective: This review …

Exergames and serious games, based on standard personal computers, mobile devices and
gaming consoles or on novel immersive Virtual and Augmented Reality techniques, have …