AI-Augmented Psychosocial Interventions A Bibliometric Review and Implications for Nursing

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dc.contributor.authorYildiz, Erman
dc.date.accessioned2026-04-04T13:30:52Z
dc.date.available2026-04-04T13:30:52Z
dc.date.issued2025
dc.departmentİnönü Üniversitesi
dc.description.abstractPURPOSE: To map out the current artificial intelligence (AI)-informed psychosocial interventions research landscape, with a focus on main themes, trends, and prospective future directions. METHOD: A bibliometric analysis extracted articles that had been published between 2007 and 2024 from the Web of Science database. Software used to process results were Bibliometrix and VOSviewer. RESULTS: A total of 207 articles published by 86 different sources were obtained. A publication of high recurrence source was the Journal of Medical Internet Research. The United States showed high research activity in link strength, volume of articles, and citation frequency. Key themes identified were machine learning, mental health, cognitive-behavioral therapy, and personalization. Emerging trends since 2020 show growing interest in ChatGPT and AI-driven therapy. CONCLUSION: Bibliometric analysis suggests increased application of AI in psychosocial interventions in mental health. Integrating AI with existing therapies and the development of novel digital tools indicate a future for mental health care that is personalized and innovative.The advent of advanced language models, such as ChatGPT, has opened new horizons in AI-supported mental health care. This preliminary analysis provides a foundational understanding of the current landscape while identifying key areas for further research. [Journal of Psychosocial Nursing and Mental Health Services, xx(xx), xx-xx.]
dc.identifier.doi10.3928/02793695-20250214-01
dc.identifier.issn0279-3695
dc.identifier.issn1938-2413
dc.identifier.issue6
dc.identifier.orcid0000-0002-6544-4847
dc.identifier.pmid39992877
dc.identifier.scopus2-s2.0-105007877213
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.3928/02793695-20250214-01
dc.identifier.urihttps://hdl.handle.net/11616/108439
dc.identifier.volume63
dc.identifier.wosWOS:001430532900001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.institutionauthorYildiz, Erman
dc.language.isoen
dc.publisherSlack Inc
dc.relation.ispartofJournal of Psychosocial Nursing and Mental Health Services
dc.relation.publicationcategoryDiğer
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250329
dc.subjectDepression
dc.subjectOutcomes
dc.subjectField
dc.titleAI-Augmented Psychosocial Interventions A Bibliometric Review and Implications for Nursing
dc.typeReview

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