ArticleApplied neuropsychology. Adult
Automated assessment of speech production and prediction of MCI in older adults.
Article in Applied neuropsychology. Adult. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06994767 (Speech-derived Digital Biomarkers for Assessing Mild Cognitive Impairment and Alzheimer's Disease Diagnosis Accuracy), which is not on this map. Cited by 14 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Speech-derived Digital Biomarkers for Assessing Mild Cognitive Impairment and Alzheimer's Disease Diagnosis Accuracy
Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.
- Diagnostic utility of speech-based biomarkers in mild cognitive impairment: a systematic review and meta-analysis.Age and ageing · 2025Pooled it
- Innovations in dementia screening: a systematic review and meta-analysis of virtual reality assessments.Frontiers in psychology · 2025Pooled it
- Developing a Multimodal Screening Algorithm for Mild Cognitive Impairment and Early Dementia in Home Health Care: Protocol for a Cross-Sectional Case-Control Study Using Speech Analysis, Large Language Models, and Electronic Health Records.JMIR research protocols · 2026Article
- Language biomarker screening using AI: a transdiagnostic approach to the brain.Scientific reports · 2026Article
- Association of language markers with future cognitive impairment and presence of limbic predominant age related TDP-43 encephalopathy.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Article
- Much More Than the Malady: The Promise of a Web-Based Digital Platform Incorporating Self-Report for Research and Clinical Care in Mild Cognitive Impairment.Mayo Clinic proceedings. Digital health · 2025Review
- Beyond electronic health record data: leveraging natural language processing and machine learning to uncover cognitive insights from patient-nurse verbal communications.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- From "invisible" to "audible": Features extracted during simple speech tasks classify patient-reported fatigue in multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025Article
- A Speech-Based Mobile Screening Tool for Mild Cognitive Impairment: Technical Performance and User Engagement Evaluation.Bioengineering (Basel, Switzerland) · 2025Article
- Access to context-specific lexical-semantic information during discourse tasks differentiates speakers with latent aphasia, mild cognitive impairment, and cognitively healthy adults.Frontiers in human neuroscience · 2024Article
- Lexical Speech Features of Spontaneous Speech in Older Persons With and Without Cognitive Impairment: Reliability Analysis.JMIR aging · 2023Article
- ADscreen: A speech processing-based screening system for automatic identification of patients with Alzheimer's disease and related dementia.Artificial intelligence in medicine · 2023Article
- Screening over Speech in Unselected Populations for Clinical Trials in AD (PROSPECT-AD): Study Design and Protocol.The journal of prevention of Alzheimer's disease · 2023Article
- Automated remote speech-based testing of individuals with cognitive decline: Bayesian agreement of transcription accuracy.Alzheimer's & dementia (Amsterdam, Netherlands)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
The population of older adults is growing dramatically and, with it comes increased prevalence of neurological disorders, including Alzheimer's disease (AD). Though existing cognitive screening tests can aid early detection of cognitive decline, these methods are limited in their sensitivity and require trained administrators. The current study sought to determine whether it is possible to identify persons with mild cognitive impairment (MCI) using automated analysis of spontaneous speech. Participants completed a brief neuropsychological test battery and a spontaneous speech task. MCI was classified using established research criteria, and lexical-semantic features were calculated from spontaneous speech. Logistic regression analyses compared the predictive ability of a commonly-used cognitive screening instrument (the Modified Mini Mental Status Exam, 3MS) and speech indices for MCI classification. Testing against constant-only logistic regression models showed that both the 3MS [
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.