ReviewNeuroscience and biobehavioral reviews2023
Speech as a promising biosignal in precision psychiatry.
Review in Neuroscience and biobehavioral reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Fundamental Frequency of Voice as a Potential Stress Biomarker: A Systematic Review and Meta-Analysis.Stress and health : journal of the International Society for the Investigation of Stress · 2025Pooled it
- Article
- Artificial Intelligence in Psychiatry: Five Decades of Progress and Persistent Translational Challenges.Psychiatric research and clinical practice · 2026Article
- Neural correlates of language disfunction in psychiatric disorders: a developmental perspective.Journal of neural transmission (Vienna, Austria : 1996) · 2026Review
- A validated Mandarin Chinese Auditory Emotion Database of Subject-Personal-Pronoun Sentences (MCAE-SPPS).Scientific data · 2026Article
- Acoustic Analysis of Primary Care Patient-provider Conversations to Screen for Cognitive Impairment.medRxiv : the preprint server for health sciences · 2025Article
- Mood states recognition based on Mandarin speech and deep learning in patients with bipolar disorder.BMC psychiatry · 2025Article
- Using large language models as a scalable mental status evaluation technique.NPP - digital psychiatry and neuroscience · 2025Article
- Navigating the tradeoff between personal privacy and data utility in speech anonymization for clinical research.NPJ digital medicine · 2025Review
- Listening to the Mind: Integrating Vocal Biomarkers into Digital Health.Brain sciences · 2025Article
- Scalable Precision Psychiatry With an Objective Measure of Psychological Stress: Prospective Real-World Study.Journal of medical Internet research · 2025Observational
- Emotional speech markers of psychiatric disturbance in Huntington's disease.Frontiers in psychiatry · 2025Article
- A study protocol for assessing the effects of intangible cultural heritage experiences on human well-being.PloS one · 2025Article
- The voice of depression: speech features as biomarkers for major depressive disorder.BMC psychiatry · 2024Article
- Acoustic and prosodic speech features reflect physiological stress but not isolated negative affect: a multi-paradigm study on psychosocial stressors.Scientific reports · 2024Article
- Wearable technologies for health research: Opportunities, limitations, and practical and conceptual considerations.Brain, behavior, and immunity · 2023Article
- Use of voice features from smartphones for monitoring depressive disorders: Scoping review.Digital healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Health research and health care alike are presently based on infrequent assessments that provide an incomplete picture of clinical functioning. Consequently, opportunities to identify and prevent health events before they occur are missed. New health technologies are addressing these critical issues by enabling the continual monitoring of health-related processes using speech. These technologies are a great match for the healthcare environment because they make high-frequency assessments non-invasive and highly scalable. Indeed, existing tools can now extract a wide variety of health-relevant biosignals from smartphones by analyzing a person's voice and speech. These biosignals are linked to health-relevant biological pathways and have shown promise in detecting several disorders, including depression and schizophrenia. However, more research is needed to identify the speech signals that matter most, validate these signals against ground-truth outcomes, and translate these data into biomarkers and just-in-time adaptive interventions. We discuss these issues herein by describing how assessing everyday psychological stress through speech can help both researchers and health care providers monitor the impact that stress has on a wide variety of mental and physical health outcomes, such as self-harm, suicide, substance abuse, depression, and disease recurrence. If done appropriately and securely, speech is a novel digital biosignal that could play a key role in predicting high-priority clinical outcomes and delivering tailored interventions that help people when they need it most.
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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.