ArticleExploration of medicine2020
Identification of digital voice biomarkers for cognitive health.
Article in Exploration of medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 25 papers, 2 of them syntheses that pooled it.
What it found
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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.
Kintsugi Voice Device Study
Kintsugi Voice Device SCID-5-CT Pilot Study
Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.
- The Role of Voice Acoustics in Depression Assessment: Findings From Bibliometric Analysis, Literature Review, and Meta-Analysis.Depression and anxiety · 2026Pooled it
- Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review.Journal of medical Internet research · 2023Pooled it
- Multimodal Dementia Prediction With Large Language Models: Cross-Attention Over Text, Audio, and Image.JMIR aging · 2026Article
- Clinical validation of a voice-based AI tool for screening cognitive impairment: a prospective multicenter study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Article
- Using voice and speech data in healthcare: a scoping review of the ethical, legal and social implications.Frontiers in digital health · 2026Review
- Evaluating spoken language as a biomarker for automated screening of cognitive impairment.Communications medicine · 2025Article
- Listening to the Mind: Integrating Vocal Biomarkers into Digital Health.Brain sciences · 2025Article
- Longitudinal voice monitoring in a decentralized Bring Your Own Device trial for respiratory illness detection.NPJ digital medicine · 2025Article
- Exploring Voice Acoustic Features Associated with Cognitive Status in Korean Speakers: A Preliminary Machine Learning Study.Diagnostics (Basel, Switzerland) · 2024Article
- Identifying and Estimating Frailty Phenotypes by Vocal Biomarkers: Cross-Sectional Study.Journal of medical Internet research · 2024Article
- Prediction of Alzheimer's disease progression within 6 years using speech: A novel approach leveraging language models.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Article
- Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024Review
- Using voice biomarkers for frailty classification.GeroScience · 2024Article
- Voice biomarkers in middle and later adulthood as predictors of cognitive changes.Frontiers in psychology · 2024Article
- Voice analysis results in individuals with Alzheimer's disease: How do age and cognitive status affect voice parameters?Brain and behavior · 2023Article
- Artificial Intelligence-Enabled End-To-End Detection and Assessment of Alzheimer's Disease Using Voice.Brain sciences · 2022Article
- Association Between Acoustic Features and Neuropsychological Test Performance in the Framingham Heart Study: Observational Study.Journal of medical Internet research · 2022Observational
- Voice biomarkers as indicators of cognitive changes in middle and later adulthood.Neurobiology of aging · 2022Article
- Neuropsychological test validation of speech markers of cognitive impairment in the Framingham Cognitive Aging Cohort.Exploration of medicine · 2021Article
- Using Digital Tools to Advance Alzheimer's Drug Trials During a Pandemic: The EU/US CTAD Task Force.The journal of prevention of Alzheimer's disease · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
Abstract
aimHuman 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 identify voice biomarkers that are predictive of future dementia.
methodsParticipants were recruited from the Framingham Heart Study. The vocal responses to neuropsychological tests were recorded, which were then diarized to identify participant voice segments. Acoustic features were extracted with the OpenSMILE toolkit (v2.1). The association of each acoustic feature with incident dementia was assessed by Cox proportional hazards models.
resultsOur study included 6, 528 voice recordings from 4, 849 participants (mean age 63 ± 15 years old, 54.6% women). The majority of participants (71.2%) had one voice recording, 23.9% had two voice recordings, and the remaining participants (4.9%) had three or more voice recordings. Although all asymptomatic at the time of examination, participants who developed dementia tended to have shorter segments than those who were dementia free (
conclusionsMultiple acoustic and linguistic features are identified that are associated with incident dementia among asymptomatic participants, which could be used to build better prediction models for passive cognitive health monitoring.
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.