A recent systematic review examining the role of artificial intelligence in transforming midwifery education and maternal healthcare practices in Egypt and Saudi Arabia.
Published in Healthcare & Nursing, Computational Sciences, and General & Internal Medicine
Artificial intelligence is increasingly transforming maternal and obstetric healthcare through innovations in clinical practice, healthcare education, and decision-making systems. In our recent systematic review, we explored the integration of AI in midwifery and maternal healthcare practices across Egypt and Saudi Arabia.
The review highlighted how AI-supported technologies, including predictive algorithms and electronic partographs, can improve labor management, maternal monitoring, and healthcare outcomes. It also demonstrated the importance of structured educational programs in improving healthcare professionals’ awareness, attitudes, and readiness toward AI adoption in nursing and midwifery practice.
Our findings identified several opportunities for integrating AI into women’s healthcare while also addressing challenges such as ethical concerns, workflow adaptation, insufficient training, and data privacy. The study emphasizes the need for interdisciplinary collaboration and evidence-based strategies to ensure safe and effective AI implementation in maternal healthcare systems.
Advancing nursing research, healthcare innovation, and women’s health remains essential for improving the quality of care and supporting future healthcare transformation.https://carcinogenesis.com/index.php/JOC/article/view/1628
Dr. Basma W. Elrefay, PhD, RN, is a Lecturer of Obstetrics and Gynecology Health Nursing at the Faculty of Nursing, Delta University for Science and Technology, Egypt, and Director of the Continuous Professional Training Unit. Her academic and clinical expertise focuses on maternal and women’s health, nursing education, healthcare quality, and evidence-based practice.
Dr. Elrefay serves as an Editorial Board Member and peer reviewer for several international peer-reviewed journals, including the American Journal of Nursing Science. She is also a Book Editor with IGI Global Scientific Publishing, contributing to scholarly work in maternal healthcare and emerging healthcare technologies.
Her research interests include maternal and reproductive health, nursing education, healthcare innovation, and the integration of artificial intelligence in healthcare systems. She has authored and reviewed several indexed scientific publications and is committed to advancing excellence in nursing research, education, and clinical practice.
• PhD in Obstetrics and Gynecological Health Nursing, Mansoura University, Egypt.
• Director of the Continuous Professional Training Unit, Faculty of Nursing, Delta University for Science and Technology.
• International Professional Trainer in Nursing Sciences and Infection Control.
• Editorial Board Member and peer reviewer for international peer-reviewed journals.
• Book Editor with IGI Global Scientific Publishing.
• Research interests: maternal and reproductive health, nursing education, healthcare quality, artificial intelligence in healthcare, and evidence-based nursing practice.
• Author and co-author of indexed publications in maternal health, nursing education, and AI integration in healthcare systems.
• Certified in healthcare management, total quality management, and professional nursing training.
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