Objective In recent years numerous studies have achieved promising results in Alzheimer's
Disease (AD) detection using automatic language processing. We systematically review …

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

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 …

Speech analysis could provide an indicator of Alzheimer's disease and help develop clinical
tools for automatically detecting and monitoring disease progression. While previous studies …

Most of the studies on Alzheimer's disease (AD) have been carried out using medical
images. However, the acquisition of medical images data is difficult. The identification based …

The objective of this paper is to present the state of-the-art relating to automatic speech and
voice analysis techniques as applied to the monitoring of patients suffering from Alzheimer's …

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 …

Almost 50 million people are living with dementia in 2018 worldwide, and the number will
double every 20 years. The effectiveness of existing pharmacologic treatments for the …

Introduction Increasing social interaction could be a promising intervention for improving
cognitive function. We examined the feasibility of a randomized controlled trial to assess …

Objective In an ageing world population more citizens are at risk of cognitive impairment,
with negative consequences on their ability of independent living, quality of life and …