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 …

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

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 …

Aim: Although clinicians primarily diagnose dementia based on a combination of metrics
such as medical history and formal neuropsychological tests, recent work using linguistic …

Voice prosody measures have been linked with Alzheimer's disease (AD), but it is unclear
whether they are associated with normal cognitive aging. We assessed relationships …

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

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 …

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

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 …

Neurodegenerative conditions like Alzheimer disease affect millions and have no known
cure, making early detection important. In addition to memory impairments, dementia causes …