Abstract Overview:
The teaching of midwifery has undergone significant transformations in recent years, especially with the incorporation of digital technologies and, more recently, artificial intelligence (AI). The training of midwives, historically based on empirical knowledge and oral transmission, has evolved to include more structured methods, grounded in scientific evidence, simulators, and now AI systems that support both education and clinical practice (Oliveira et al., 2021).

Aims and Objectives:
To investigate the benefits of AI in midwifery education within nursing.

Methodology:
Narrative literature review on the use of AI in midwifery education.

Results:
AI is being integrated into obstetric nursing education, enabling the analysis of clinical data, helping to identify risk patterns, suggesting appropriate interventions for clinical situations, and simulating childbirth in virtual reality environments (Topol, 2019). Furthermore, AI allows for personalized education by adapting content to the individual needs of students, promoting more effective learning (Esteva et al., 2019). While the benefits of AI in midwifery education are acknowledged, it is essential that its use be accompanied by critical and ethical training to ensure that future professionals maintain a human, empathetic, and woman-centered approach. Technology should serve as a supportive tool, not a replacement for human care especially in such a sensitive area as childbirth (Monteiro & Pereira, 2020).

Conclusion:
The integration of AI into midwifery education represents an opportunity to strengthen professional training, as long as it aligns with the principles of woman-centered care and is guided by an ethical approach.