ArticleSchizophrenia bulletin2023
Natural Language Processing Markers for Psychosis and Other Psychiatric Disorders: Emerging Themes and Research Agenda From a Cross-Linguistic Workshop.
Article in Schizophrenia bulletin, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Linguistic markers for identifying post-traumatic stress disorder and associated symptoms: a systematic literature review.Journal of the American Medical Informatics Association : JAMIA · 2025Pooled it
- DISCOURSE in Psychosis: introducing an international consortium for research on thought, language and communication.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026Article
- Article
- Cross-linguistic benchmarking of NLP metrics for psychosis research.NPJ digital medicine · 2026Article
- Reading between the lines: Combining pause dynamics and semantic coherence for automated assessment of thought disorder.Neuropsychologia · 2026Article
- TOPSY: A picture description dataset to examine speech, language and communication in untreated first episode psychosis.Data in brief · 2026Article
- Vocal Markers of Schizophrenia: Assessing the Generalizability of Machine Learning Models and Their Clinical Applicability.Schizophrenia bulletin · 2026Article
- The DISCOURSE in psychosis (London Ontario): A speech dataset to examine communication disturbances in early-stage psychosis.Data in brief · 2026Article
- Subjective language disturbances in young patients at ultra-high risk for psychosis (UHR): what relevance for clinical prognosis? A 2-year follow-up study.European archives of psychiatry and clinical neuroscience · 2026Article
- Rethinking language, cognition and assessment in psychosis: How bilingualism challenges psychiatry and how natural language processing can help.Schizophrenia (Heidelberg, Germany) · 2026Review
- Clinical psychopathology-based early relapse prediction model using speech and language in psychosis.Schizophrenia research. Cognition · 2026Review
- Exploring the interplay between language use and cognitive function in schizophrenia spectrum disorders: Insights from patients, first degree relatives, and healthy controls.Schizophrenia research. Cognition · 2026Review
- Uncertainty modeling in multimodal speech analysis across the psychosis spectrum.NPJ digital medicine · 2026Article
- Linking spontaneous speech, cognition, and psychopathology across affective and psychotic disorders: A network approach.European psychiatry : the journal of the Association of European Psychiatrists · 2026Article
- Using voice and speech data in healthcare: a scoping review of the ethical, legal and social implications.Frontiers in digital health · 2026Review
- Analysis of conceptual overlap among formal thought disorder rating scales in psychosis: a systematic semantic synthesis.Schizophrenia (Heidelberg, Germany) · 2025Article
- Syntactic network analysis in first-episode psychosis: toward generalizability.Schizophrenia (Heidelberg, Germany) · 2025Article
- Network analysis of relationships among psychopathology, cognitive function, and psychosocial functioning in independent samples of Chinese with schizophrenia or bipolar disorder.Psychological medicine · 2025Article
- Glutamate, Contextual Insensitivity, and Disorganized Speech in First-Episode Schizophrenia: A 7T Magnetic Resonance Spectroscopy Study.Biological psychiatry global open science · 2025Article
- Quantitative semiology: harnessing AI-generated teaching signals in psychiatry.Journal of psychiatry & neuroscience : JPN · 2025Article
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28 authors.
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Abstract
This workshop summary on natural language processing (NLP) markers for psychosis and other psychiatric disorders presents some of the clinical and research issues that NLP markers might address and some of the activities needed to move in that direction. We propose that the optimal development of NLP markers would occur in the context of research efforts to map out the underlying mechanisms of psychosis and other disorders. In this workshop, we identified some of the challenges to be addressed in developing and implementing NLP markers-based Clinical Decision Support Systems (CDSSs) in psychiatric practice, especially with respect to psychosis. Of note, a CDSS is meant to enhance decision-making by clinicians by providing additional relevant information primarily through software (although CDSSs are not without risks). In psychiatry, a field that relies on subjective clinical ratings that condense rich temporal behavioral information, the inclusion of computational quantitative NLP markers can plausibly lead to operationalized decision models in place of idiosyncratic ones, although ethical issues must always be paramount.
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