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

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

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 …

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 …

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 …

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 …

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 …

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

Early detection of Alzheimer's disease is required to identify patients suitable for disease-
modifying medications and to improve access to non-pharmacological preventative …

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