What does this research mean for the field?

Research on artificial intelligence in mental health nursing is rapidly expanding and transitioning from traditional predictive modeling toward implementation-focused, generative AI, and ethically informed applications. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To evaluate global publication trends, knowledge structures, and emerging themes concerning the application of artificial intelligence in mental health nursing.

September 2, 2026Journal of Psychiatric and Mental Health Nursing

Artificial Intelligence in Mental Health Nursing: A Bibliometric Analysis of Research Trends, Knowledge Structures and Emerging Themes

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Authors

FÖFirdevs Ebru Özdemir

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Overview

Bibliometric review reveals rising focus on generative AI and ethics in mental health nursing literature, indicating a critical need for workforce literacy and clinical governance.

Key Points

To evaluate global publication trends, knowledge structures, and emerging themes concerning the application of artificial intelligence in mental health nursing.
Searched the Scopus database in May 2026 following the PRISMA 2020 reporting framework, identifying 141 English-language articles and reviews published between 2018 and 2026.
Conducted bibliometric mapping and keyword co-occurrence analyses using VOSviewer.
Publication output increased markedly after 2023, with 72.3% of the 141 included studies published between 2025 and 2026.
The United States, China, and Türkiye emerged as the most productive countries in this research domain.
Identified five thematic clusters: risk assessment and prediction, nursing education and simulation, workforce impact and attitudes, generative artificial intelligence applications, and ethical-professional issues.

Cite This Study

Firdevs Ebru Özdemir (2026) studied this question.

synapsesocial.com/papers/6a97e275c562ede874ec69b2 https://doi.org/10.1111/jpm.70196

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September 2, 2026Journal of Psychiatric and Mental Health Nursing

Artificial Intelligence in Mental Health Nursing: A Bibliometric Analysis of Research Trends, Knowledge Structures and Emerging Themes

View Full Paper

Ask AI

Bookmark

Authors

FÖFirdevs Ebru Özdemir

Discussion

Member takes

Overview

Bibliometric review reveals rising focus on generative AI and ethics in mental health nursing literature, indicating a critical need for workforce literacy and clinical governance.

Key Points

To evaluate global publication trends, knowledge structures, and emerging themes concerning the application of artificial intelligence in mental health nursing.
Searched the Scopus database in May 2026 following the PRISMA 2020 reporting framework, identifying 141 English-language articles and reviews published between 2018 and 2026.
Conducted bibliometric mapping and keyword co-occurrence analyses using VOSviewer.
Publication output increased markedly after 2023, with 72.3% of the 141 included studies published between 2025 and 2026.
The United States, China, and Türkiye emerged as the most productive countries in this research domain.
Identified five thematic clusters: risk assessment and prediction, nursing education and simulation, workforce impact and attitudes, generative artificial intelligence applications, and ethical-professional issues.

Cite This Study

Firdevs Ebru Özdemir (2026) studied this question.

synapsesocial.com/papers/6a97e275c562ede874ec69b2 https://doi.org/10.1111/jpm.70196

View Full Paper

Ask AI

Bookmark