The integration of artificial intelligence (AI) into nursing has the potential to revolutionise patient care, improve decision-making, and optimise clinical workflows. Our systematic review and meta-analysis assess existing evidence on AI applications in nursing with focus on the effectiveness, challenges, and outcomes associated with AI-driven technologies. It was conducted using databases such as PubMed, Scopus, and CINAHL. Studies published from 2010 to 2024 were included, and data on study design, AI applications, nursing outcomes, and technology assessments and a meta-analysis was performed where possible, assessing the effectiveness of AI tools. Out of 15 studies, 12 were eligible for inclusion in the meta-analysis. AI applications were most commonly used in patient monitoring, diagnostic assistance, and care coordination. The findings indicated that AI technologies in nursing improved clinical decision-making and patient monitoring with moderate effect sizes (Cohen's d=0.47). AI also reduced nurse workload in specific settings, leading to increased job satisfaction with significant potential in nursing to improve patient care and optimise workflows. However, challenges remain in terms of integration, training, and ethical considerations. Further research is needed to fully understand the long-term impacts of AI in nursing practice.