[HTML][HTML] 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 …
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 …
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 …
Remote data collection speech analysis and prediction of the identification of Alzheimer's disease biomarkers in people at risk for Alzheimer's disease dementia: the …
Introduction Identifying cost-effective, non-invasive biomarkers of Alzheimer's disease (AD)
is a clinical and research priority. Speech data are easy to collect, and studies suggest it can …
is a clinical and research priority. Speech data are easy to collect, and studies suggest it can …
[HTML][HTML] Screening over speech in unselected populations for clinical trials in AD (PROSPECT-AD): study design and protocol
Background Speech impairments are an early feature of Alzheimer's disease (AD) and
consequently, analysing speech performance is a promising new digital biomarker for AD …
consequently, analysing speech performance is a promising new digital biomarker for AD …
[HTML][HTML] Identification of digital voice biomarkers for cognitive health
Aim: Human voice contains rich information. Few longitudinal studies have been conducted
to investigate the potential of voice to monitor cognitive health. The objective of this study is …
to investigate the potential of voice to monitor cognitive health. The objective of this study is …
Acceptability of collecting speech samples from the elderly via the telephone
C Diaz-Asper, C Chandler, RS Turner… - Digital …, 2021 - journals.sagepub.com
Objective There is a critical need to develop rapid, inexpensive and easily accessible
screening tools for mild cognitive impairment (MCI) and Alzheimer's disease (AD). We report …
screening tools for mild cognitive impairment (MCI) and Alzheimer's disease (AD). We report …
Development of digital voice biomarkers and associations with cognition, cerebrospinal biomarkers, and neural representation in early Alzheimer's disease
Introduction Advances in natural language processing (NLP), speech recognition, and
machine learning (ML) allow the exploration of linguistic and acoustic changes previously …
machine learning (ML) allow the exploration of linguistic and acoustic changes previously …
Leveraging speech and artificial intelligence to screen for early Alzheimer's disease and amyloid beta positivity
Early detection of Alzheimer's disease is required to identify patients suitable for disease-
modifying medications and to improve access to non-pharmacological preventative …
modifying medications and to improve access to non-pharmacological preventative …
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 …