The incorporation of artificial intelligence (AI) into nursing practice is transforming care processes, although challenges persist regarding staff training, trust in automated systems, and the protection of patient data. The objective of this systematic review was to analyze the applications of AI in nursing care and their implications for care quality. A search was conducted in the databases SciELO, Dialnet, ERIC, Redalyc, Elsevier, PubMed, and WorldWideScience, in English, Portuguese, and Spanish, including publications from 2019 to 2025. Studies lacking empirical evidence, duplicates, those unrelated to the nursing field, or published before the established period were excluded, resulting in a final sample of 25 articles. The results indicate that AI contributes to improving care delivery, supporting clinical decision-making, personalizing patient care, and enhancing nursing education, although ethical and security challenges were also identified. In conclusion, AI represents a valuable tool to optimize the quality and efficiency of care, provided its implementation is accompanied by continuous training, rigorous ethical standards, and acknowledgment of the importance of the human component in an increasingly dynamic and culturally diverse technological context.