Theme Issue: Artificial Intelligence (AI) in Nursing

Nurse Researchers’ Experiences and Perceptions of Generative AI: Qualitative Semistructured Interview Study

Ruifu Kang, Zehui Xuan, Ling Tong, Yanling Wang, Shuai Jin, Qian Xiao

J Med Internet Res 2025 (Aug 25); 27:e65523

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Large Language Models in Nursing Education: Concept Analysis

Julia Harrington, Richard G Booth, Kimberley T Jackson

JMIR Nursing 2025 (Aug 22); 8:e77948

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Opportunities, Challenges, and Future Directions for the Integration of Automation in Nursing Practice: Discursive Study

Joseph Andrew Pepito, Neilan John Acaso, Rommel Merioles, Judith Ismael

JMIR Nursing 2025 (Aug 14); 8:e72674

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Using Large Language Models to Assess Burnout Among Health Care Workers in the Context of COVID-19 Vaccine Decisions and Health Beliefs: Retrospective Cohort Study

Samaneh Omranian, Lu He, AkkeNeel Talsma, Arielle A J Scoglio, Susan McRoy, Janet W Rich-Edwards

JMIR Nursing 2025 (Jul 04); 8:e73672

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Advancing Clinical Chatbot Validation Using AI-Powered Evaluation With a New 3-Bot Evaluation System: Instrument Validation Study

Seungheon Choo, Suyoung Yoo, Kumiko Endo, Bao Truong, Meong Hi Son

JMIR Nursing 2025 (Feb 27); 8:e63058

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Examining the Role of AI in Changing the Role of Nurses in Patient Care: Systematic Review

Inas Al Khatib, Malick Ndiaye

JMIR Nursing 2025 (Feb 19); 8:e63335

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Assessing Visitor Expectations of AI Nursing Robots in Hospital Settings: Cross-Sectional Study Using the Kano Model

Aimei Kang, XiuLi Wu

JMIR Nursing 2024 (Nov 27); 7:e59442

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Advancing AI Data Ethics in Nursing: Future Directions for Nursing Practice, Research, and Education

Patricia A Ball Dunlap, Martin Michalowski

JMIR Nursing 2024 (Oct 25); 7:e62678

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AI-Assisted Decision-Making in Long-Term Care: Qualitative Study on Prerequisites for Responsible Innovation

Dirk R M Lukkien, Nathalie E Stolwijk, Sima Ipakchian Askari, Bob M Hofstede, Henk Herman Nap, Wouter P C Boon, Alexander Peine, Ellen H M Moors, Mirella M N Minkman

JMIR Nursing 2024 (Jul 25); 7:e55962

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Identifying Depression Through Machine Learning Analysis of Omics Data: Scoping Review

Brittany Taylor, Mollie Hobensack, Stephanie Niño de Rivera, Yihong Zhao, Ruth Masterson Creber, Kenrick Cato

JMIR Nursing 2024 (Jul 19); 7:e54810

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A Scalable and Extensible Logical Data Model of Electronic Health Record Audit Logs for Temporal Data Mining (RNteract): Model Conceptualization and Formulation

Victoria L Tiase, Katherine A Sward, Julio C Facelli

JMIR Nursing 2024 (Jun 24); 7:e55793

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Navigating the Pedagogical Landscape: Exploring the Implications of AI and Chatbots in Nursing Education

Muthuvenkatachalam Srinivasan, Ambili Venugopal, Latha Venkatesan, Rajesh Kumar

JMIR Nursing 2024 (Jun 13); 7:e52105

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Using AI-Based Technologies to Help Nurses Detect Behavioral Disorders: Narrative Literature Review

Sofia Fernandes, Armin von Gunten, Henk Verloo

JMIR Nursing 2024 (May 28); 7:e54496

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The Cooperation Between Nurses and a New Digital Colleague “AI-Driven Lifestyle Monitoring” in Long-Term Care for Older Adults: Viewpoint

Sjors Groeneveld, Gaya Bin Noon, Marjolein E M den Ouden, Harmieke van Os-Medendorp, J E W C van Gemert-Pijnen, Rudolf M Verdaasdonk, Plinio Pelegrini Morita

JMIR Nursing 2024 (May 23); 7:e56474

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Performance of the Large Language Model ChatGPT on the National Nurse Examinations in Japan: Evaluation Study

Kazuya Taira, Takahiro Itaya, Ayame Hanada

JMIR Nursing 2023 (Jun 27); 6:e47305

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