The clinical diagnosis of Alzheimer's disease and other dementias is very challenging,
especially in the early stages. Our hypothesis is that any disease that affects particular brain …

In this paper we overview the role of speech variables in the preclinical discrimination of
Alzheimer's Disease (AD). As a neurodegenerative process, AD displays important cognitive …

Alzheimer's disease (AD) is the most common cause of dementia and affects wide parts of
the elderly population. Since there exists no cure for this illness, it is of particular interest to …

Background: Speech variations enable us to map the performance of cognitive processes of
syntactic, semantic, phonological, and articulatory planning and execution. Speaking is one …

Automatic Speech Recognition (ASR) is widely used in many applications and tools.
Smartphones, video games, and cars are a few examples where people use ASR routinely …

Alzheimer's disease (AD) is a neurodegenerative disorder that develops for years before
clinical manifestation, while mild cognitive impairment is clinically considered as a …

Objective: Nowadays proper detection of cognitive impairment has become a challenge for
the scientific community. Alzheimer's Disease (AD), the most common cause of dementia …

Automatic diagnosis of the Alzheimer's disease as well as monitoring of the diagnosed
patients can make significant economic impact on societies. We investigated an automatic …

This pilot study evaluates the ability of machined learned algorithms to assist with the
differential diagnosis of dementia subtypes based on brief (< 10 min) spontaneous speech …

Abstract According to the World Health Organization, the number of people suffering from
dementia worldwide will grow to 150 million by mid-century, and Alzheimer's disease is the …