AI Nursing Interventions in Stress Management: A Review

Assistant Professor, HOD Department of Psychiatric Nursing, JSS College of Nursing, Mysuru, India

*Corresponding author: Mrs Purohit Saraswati, Assistant Professor, HOD Department of Psychiatric Nursing, JSS College of Nursing, Mysuru, India, Email: [email protected]

Received Date: June 23, 2025

Published Date: July 28, 2025

Citation: Saraswati P. (2025). AI Nursing Interventions in Stress Management: A Review. Mathews J Nurs. 7(2):62.

Copyrights: Saraswati P. © (2025).

ABSTRACT

Artificial Intelligence (AI) is transforming healthcare, particularly in mental health and stress management. Nursing professionals increasingly utilize AI-driven tools to assess, monitor, and intervene in patient stress-related conditions. This review explores the emerging role of AI in nursing interventions aimed at stress management. The integration of AI-powered chatbots, predictive analytics, wearable technology, and mental health applications supports nurses in delivering timely, personalized, and effective interventions. Current trends suggest significant benefits in early detection and management of stress, but also highlight ethical, technological, and implementation challenges. This review aims to map the current evidence and future directions for AI-assisted nursing interventions in stress care. AI integration in nursing empowers a proactive approach to stress management by enabling early identification of high-risk individuals through predictive modeling and behavioral analytics. Tools such as emotional recognition systems and AI-assisted virtual reality therapy not only enhance therapeutic engagement but also support continuous care beyond traditional clinical settings. This convergence of technology and compassionate nursing care underscores the importance of interdisciplinary collaboration and ongoing research to refine AI applications that are both ethically sound and clinically effective.

Keywords: Artificial Intelligence, Nursing Interventions, Stress Management, Mental Health, Predictive Analytics, Chatbots.