Background: Language is a valuable source of clinical information in Alzheimer's disease,
as it declines concurrently with neurodegeneration. Consequently, speech and language …

Verbal communication disorders are a hallmark of many neurological and psychiatric
illnesses. Recent developments in computational analysis provide objective …

Background The manual diagnosis of neurodegenerative disorders such as Alzheimer's
disease (AD) and related Dementias has been a challenge. Currently, these disorders are …

Recent work has indicated the potential utility of automated language analysis for the
detection of mild cognitive impairment (MCI). Most studies combining language processing …

We analyze the information content of narrative speech samples from individuals with mild
cognitive impairment (MCI), in both English and Swedish, using a combination of supervised …

Alzheimer's disease (AD) is caused by cortical degeneration leading to memory loss and
dementia. A possible criterion for the early identification of Alzheimer's dementia is to identify …

It has been quite a challenge to diagnose Mild Cognitive Impairment due to Alzheimer's
disease (MCI) and Alzheimer-type dementia (AD-type dementia) using the currently …

In recent years there has been a burgeoning interest in the use of computational methods to
distinguish between elicited speech samples produced by patients with dementia, and those …

We present a machine learning analysis of eye-tracking data for the detection of mild
cognitive impairment, a decline in cognitive abilities that is associated with an increased risk …

We present a novel benchmark dataset and prediction tasks for investigating approaches to
assess cognitive function through analysis of connected speech. The dataset consists of …