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Methods and New Tools in Mental Health Research (903) Digital Health Reviews (3648) Information Retrieval (488) Natural Language Processing (1271) Artificial Intelligence (4741) Social Determinants of Health (122)

Published on in Vol 12 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67192, first published .
Open book with "Mental Health" and drawings of discussion, support, and love

Natural Language Processing and Social Determinants of Health in Mental Health Research: AI-Assisted Scoping Review

Natural Language Processing and Social Determinants of Health in Mental Health Research: AI-Assisted Scoping Review

Authors of this article:

Dmitry A Scherbakov1 Author Orcid Image ;   Nina C Hubig1, 2 Author Orcid Image ;   Leslie A Lenert1 Author Orcid Image ;   Alexander V Alekseyenko1 Author Orcid Image ;   Jihad S Obeid1 Author Orcid Image
Article Authors Cited by (23) Tweetations (1) Metrics

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  2. Alasmari A. A Scoping Review of Arabic Natural Language Processing for Mental Health. Healthcare 2025;13(9):963 View
  3. Wang Q, Gu H, Zang X, Zuo M, Li H. Flood resilience in cities and urban agglomerations: a systematic review of hazard causes, assessment frameworks, and recovery strategies based on LLM tools. Natural Hazards 2025;121(11):12391 View
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  5. Juanda J, Azis A, Ramadhan Z. Pemetaan Kompetensi Membaca dan Menulis Akademik Mahasiswa dan Artificial Intelligence dalam Praktik Literasi Ilmiah. Jurnal Onoma: Pendidikan, Bahasa, dan Sastra 2025;11(4):4004 View
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  8. Yeasmin S, Semi M, Rony M, Das S, Sabeena A, Rahman R, Biswas B, Ahmed F, Hossain A. Artificial Intelligence for Mental Health Monitoring: A Solution for Digital Behavioral Health Care and Education—An Umbrella Review. Health Science Reports 2026;9(1) View
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  10. Voultsiou E, Moussiades L. A Systematic Review of Large Language Models in Mental Health: Opportunities, Challenges, and Future Directions. Electronics 2026;15(3):524 View
  11. Meerwijk E, Shotqara A, Finlay A, Reeves R, Tamang S, Ilgen M, Harris A. Predictive Accuracy of Natural Language Processing Extracted 3-Step Theory of Suicide Factor Scores Derived From Veterans’ Clinical Progress Notes. Medical Care 2026;64(4):221 View
  12. Chen Y, Gao Y, Yu S, Zhao C, Lu Y. Large Language Models in Mental Health: A Systematic Review of Applications, Innovations and Ethical Challenges. Journal of Industrial Integration and Management 2026:1 View
  13. Ji X, Yang Y. Digital surveillance for community mental health: a demand–risk–response framework for population health management. Health Policy and Technology 2026;15(8):101275 View
  14. Choi M, Jo J, Jeong J. An Artificial Intelligence-Based Detection of Comorbid Depression, Anxiety, and Substance Use Disorder in Korean Counseling Dialogues Using an Explainable Hierarchical Attention Network with Shapley Additive Explanations. Diagnostics 2026;16(12):1817 View
  15. U S, Murugan T, R A, Govindaraj L, Prince J. Sentiment trajectory modeling in mental health discussions via transformer-based analysis. Frontiers in Artificial Intelligence 2026;9 View
  16. Chen S, Dang T, Qian M, Liang H, Bedada D, Louw Q, Moore A, Cardinal R, Ford T, Jiang F. Machine learning and natural language processing for the identification of potential mental disorders among school-age children: a prospective birth cohort study. BMC Medicine 2026;24(1) View
  17. Barragán A, Bonett S, Rodríguez‐Grande E, Orjuela‐Cañón A, Perdomo O, Sánchez‐Vanegas G. Artificial Intelligence Resources for the Screening of Titles and Abstracts in Systematic Reviews: A Scoping Review. Cochrane Evidence Synthesis and Methods 2026;4(5) View
  18. Frankenfield J, Sobel B, Chaparro B. The Use of Artificial Intelligence Systems in Mental Health Treatment: A Thematic Review. Proceedings of the International Symposium on Human Factors and Ergonomics in Health Care 2026;15(1):57 View

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