Introduction Automated computational assessment of neuropsychological tests would
enable widespread, cost‐effective screening for dementia. Methods A novel natural …

Abstract Background Although patients with Alzheimer's disease and other cognitive-related
neurodegenerative disorders may benefit from early detection, development of a reliable …

Background: There is a need for fast, accessible, low-cost, and accurate diagnostic methods
for early detection of cognitive decline. Dementia diagnoses are usually made years after …

Early detection of dementia as well as improvement in diagnosis coverage has been
increasingly important. Previous studies involved extracting speech features during …

INTRODUCTION Traditional Alzheimer's disease (AD) and mild cognitive impairment (MCI)
screening lacks the sensitivity and timeliness required to detect subtle indicators of cognitive …

Barriers to healthcare access are widespread in elderly populations, with a major
consequence that older people are not benefiting from the latest technologies to diagnose …

Background Identification of reliable, affordable, and easy-to-use strategies for detection of
dementia is sorely needed. Digital technologies, such as individual voice recordings, offer …

Background The aim of this study is to use classification methods to predict future onset of
Alzheimer's disease in cognitively normal subjects through automated linguistic analysis …

The population of older adults is growing dramatically and, with it comes increased
prevalence of neurological disorders, including Alzheimer's disease (AD). Though existing …

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 …