**Background:** The integration of Artificial Intelligence (AI) in healthcare research is revolutionizing methodologies and outcomes. In nursing, where evidence-based practice is essential, AI offers substantial opportunities to streamline research activities, refine data analysis processes, and drive innovative solutions to complex health issues. **Objective:** This presentation delves into the practical applications of AI within nursing research, highlighting how these technologies can significantly enhance research capabilities. The discussion will cover the current landscape of AI in healthcare, spotlight specific AI tools that are beneficial for nursing research, and review case studies illustrating successful AI applications. **Methods:** A review of the literature provides the basis for discussing AI's role in healthcare, with a focus on applications directly relevant to nursing. The analysis includes an evaluation of AI technologies such as language processing for handling qualitative data, machine learning algorithms for detecting patterns in extensive datasets, and predictive analytics for forecasting patient outcomes. Additionally, the presentation addresses ethical considerations, including data privacy and the potential for bias in AI algorithms. **Results:** Findings indicate that AI markedly improves the efficiency and precision of research processes in nursing. AI applications have demonstrated capability in reducing data processing times, enhancing the accuracy of research outcomes, and facilitating tailored care strategies. Despite these benefits, the adoption of AI in nursing research faces obstacles including the requisite AI training for nursing professionals and unresolved ethical issues. **Conclusion:** AI's potential to transform nursing research and practice is undeniable, enhancing evidence-based approaches through automation and insightful data interpretation. Nevertheless, realizing this potential necessitates ongoing education in AI for nursing professionals and rigorous ethical oversight. **Implications for Practice:** The presentation emphasizes the critical role of AI in advancing nursing research and advocates for targeted educational initiatives to build AI proficiency among nursing staff. It also calls for a collaborative approach to navigating the ethical landscapes of AI utilization, ensuring responsible and equitable applications in nursing research.