High nurse turnover significantly affects healthcare quality worldwide. Artificial intelligence (AI) support systems offer promising solutions to enhance clinical workflows and improve nurse job satisfaction. This systematic review examines AI's effectiveness in reducing nurse turnover and explores nurses' perceptions. We searched PubMed, EBSCOhost, Scopus, and ScienceDirect (2020–2025) using keywords including AI, nurse turnover, and job satisfaction. After screening, we included seventeen studies (involving over 2,000 participants) and assessed risk of bias using ROBIS. Results indicate AI systems (e.g., personalized burnout interventions, smart scheduling) reduced burnout by 30% and improved satisfaction by 21%. Nurses re-ported administrative benefits but expressed reliability concerns. Successful implementation requires addressing concerns through training and ethical guidelines. Future research should examine long-term impacts and cost-effectiveness.
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Ee Xion Tan (2025) studied this question.
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