Background Language impairment is an important marker of neurodegenerative disorders.
Despite this, there is no universal system of terminology used to describe these impairments …

Introduction Advances in natural language processing (NLP), speech recognition, and
machine learning (ML) allow the exploration of linguistic and acoustic changes previously …

Background To evaluate the interest of using automatic speech analyses for the assessment
of mild cognitive impairment (MCI) and early-stage Alzheimer's disease (AD). Methods …

Background: The field of voice and speech analysis has become increasingly popular over
the last 10 years, and articles on its use in detecting neurodegenerative diseases have …

Detecting early signs of cognitive decline is crucial for early detection and treatment of
Alzheimer's Disease. Most of the current screening tools for Alzheimer's Disease represent a …

Background: The discovery of early, non-invasive biomarkers for the identification of
“preclinical” or “pre-symptomatic” Alzheimer's disease and other dementias is a key issue in …

Background: Various types of dementia and Mild Cognitive Impairment (MCI) are manifested
as irregularities in human speech and language, which have proven to be strong predictors …

Alzheimer's disease (AD) is a pervasive neurodegenerative disease that affects millions
worldwide and is most prominently associated with broad cognitive decline, including …

Abstract Introduction Trials in Alzheimer's disease are increasingly focusing on prevention in
asymptomatic individuals. We hypothesized that indicators of mild cognitive impairment …

Purpose Evidence exists that changes in language performance may be an early indicator of
mild cognitive impairment (MCI), often a harbinger of dementing disease. The purpose of …