ArticleJournal of psychiatric research2021
Artificial intelligence language predictors of two-year trauma-related outcomes.
Article in Journal of psychiatric research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
5 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
- Predicting Probable Persistent PTSD Following the Sewol Ferry Disaster: Development of an AI Algorithm Based on Psychological Assessments and Biological Markers.Psychiatry investigation · 2026Article
- Replicability and Validity of a New Artificial-Intelligence Assessment of Posttraumatic Stress Disorder From Patient Language: A Sequential Evaluation With Model Preregistration.Clinical psychological science : a journal of the Association for Psychological Science · 2026Article
- Language-based AI modeling of personality traits and pathology from life narrative interviews.Journal of psychopathology and clinical science · 2026Article
- Beyond rating scales: With targeted evaluation, large language models are poised for psychological assessment.Psychiatry research · 2024Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundRecent research on artificial intelligence has demonstrated that natural language can be used to provide valid indicators of psychopathology. The present study examined artificial intelligence-based language predictors (ALPs) of seven trauma-related mental and physical health outcomes in responders to the World Trade Center disaster.
methodsThe responders (N = 174, M
resultsVoicemail ALPs were significantly associated with a majority of the trauma-related outcomes at two-year follow-up, over and above corresponding baseline self-reports. ALPs showed significant convergence with corresponding self-report scales, but also considerable uniqueness from each other and from self-report scales. LIMITATIONS: The study has a relatively short follow-up period relative to trauma occurrence and a limited sample size.
conclusionsThis study shows evidence that ALPs may provide a novel, objective, and clinically useful approach to forecasting, and may in the future help to identify individuals at risk for negative health outcomes.
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