Introduction: Recent advances in technology-assisted care, particularly artificial intelligence (AI) and digital tools, have transformed reproductive medicine. These technologies contribute to improved diagnostic accuracy, decision-making, and personalized approaches in women’s reproductive health. This systematic review aims to investigate recent evidence (2022–2025) regarding the role of technology-assisted methods in reproductive health and midwifery practice.
Methods: A systematic search was conducted in PubMed, Scopus, Web of Science, and Google Scholar databases for English-language studies published between January 2022 and May 2025. Keywords included “Technology-Assisted Care,” “Reproductive Health,” “IVF,” “Embryo Selection,” “Women’s Health,” and “Obstetrics.” Studies were screened based on PRISMA guidelines, and 8 studies were included in the final analysis after applying inclusion and exclusion criteria.
Results: The selected studies highlighted the significant role of technology-based approaches such as AI-driven prediction of pregnancy outcomes (e.g., preeclampsia, gestational diabetes), optimization of IVF cycles, embryo selection, and forecasting ovarian response. Additional applications included digital platforms for pregnancy monitoring, midwifery education, and ethical considerations in reproductive decision-making. Despite promising outcomes, challenges such as data bias, limited clinical integration, and ethical issues remain.
Conclusion: Technology-assisted approaches hold transformative potential in women’s reproductive health, especially in infertility treatment, pregnancy monitoring, and midwifery practice. To ensure responsible and equitable implementation, addressing algorithmic bias, ethical concerns, and the development of high-quality datasets is essential.