Automated detection of mild cognitive impairment and dementia from voice recordings: a natural language processing approach
Introduction Automated computational assessment of neuropsychological tests would
enable widespread, cost‐effective screening for dementia. Methods A novel natural …
enable widespread, cost‐effective screening for dementia. Methods A novel natural …
Cognitive digital biomarkers from automated transcription of spoken language
Abstract Background Although patients with Alzheimer's disease and other cognitive-related
neurodegenerative disorders may benefit from early detection, development of a reliable …
neurodegenerative disorders may benefit from early detection, development of a reliable …
Assessing the utility of language and voice biomarkers to predict cognitive impairment in the Framingham Heart Study Cognitive Aging Cohort Data
JA Thomas, HA Burkhardt, S Chaudhry… - Journal of …, 2020 - content.iospress.com
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 …
for early detection of cognitive decline. Dementia diagnoses are usually made years after …
[HTML][HTML] Using tablet-based assessment to characterize speech for individuals with dementia and mild cognitive impairment: preliminary results
AO Hall, K Shinkawa, A Kosugi, T Takase… - AMIA Summits on …, 2019 - ncbi.nlm.nih.gov
Early detection of dementia as well as improvement in diagnosis coverage has been
increasingly important. Previous studies involved extracting speech features during …
increasingly important. Previous studies involved extracting speech features during …
An explainable machine learning model of cognitive decline derived from speech
C Chandler, C Diaz‐Asper, RS Turner… - Alzheimer's & …, 2023 - Wiley Online Library
INTRODUCTION Traditional Alzheimer's disease (AD) and mild cognitive impairment (MCI)
screening lacks the sensitivity and timeliness required to detect subtle indicators of cognitive …
screening lacks the sensitivity and timeliness required to detect subtle indicators of cognitive …
Increasing access to cognitive screening in the elderly: Applying natural language processing methods to speech collected over the telephone
C Diaz-Asper, C Chandler, RS Turner, B Reynolds… - Cortex, 2022 - Elsevier
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 …
consequence that older people are not benefiting from the latest technologies to diagnose …
Detection of dementia on voice recordings using deep learning: a Framingham Heart Study
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 …
dementia is sorely needed. Digital technologies, such as individual voice recordings, offer …
Linguistic markers predict onset of Alzheimer's disease
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 …
Alzheimer's disease in cognitively normal subjects through automated linguistic analysis …
Automated assessment of speech production and prediction of MCI in older adults
The population of older adults is growing dramatically and, with it comes increased
prevalence of neurological disorders, including Alzheimer's disease (AD). Though existing …
prevalence of neurological disorders, including Alzheimer's disease (AD). Though existing …
Ten years of research on automatic voice and speech analysis of people with Alzheimer's disease and mild cognitive impairment: a systematic review article
I Martínez-Nicolás, TE Llorente… - Frontiers in …, 2021 - frontiersin.org
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 …
the last 10 years, and articles on its use in detecting neurodegenerative diseases have …