Womb Intelligence: How Emerging Technologies Are Rewriting the Maternal Journey

Introduction Emerging digital and AI-driven technologies are reshaping prenatal care by enabling continuous monitoring, early risk detection, and patient-centered decision support. These innovations allow a deeper understanding of maternal–fetal dynamics and promote safer, more personalized pregnancy trajectories. This study explores how intelligent technologies redefine maternal care through enhanced prediction, connectivity, and clinical insight. Method A mixed-methods design was applied, including a systematic review of ۸۵ studies (۲۰۱۹–۲۰۲۵), expert interviews with ۱۵ maternal-fetal specialists, and comparative analysis of global digital pregnancy programs. Themes were synthesized to identify technological capabilities, ethical considerations, and implementation challenges in intelligent prenatal care. Results Findings showed that AI-based fetal monitoring improved early detection of preeclampsia, gestational diabetes, and fetal distress by ۲۵–۴۰%. Wearables enabled continuous assessment of maternal vitals, while predictive algorithms optimized intervention timing. Intelligent apps enhanced maternal engagement and adherence to care plans. However, issues such as algorithmic bias, data privacy risks, and unequal access to digital tools limited full integration. Conclusion Intelligent pregnancy technologies are redefining maternal health through precision prediction and continuous insight. Sustainable adoption requires ethical oversight, equity-oriented design, and interoperability to ensure safe, inclusive, and high-quality maternal care.

کلیدواژه ها:

Intelligent Prenatal Care ، AI-Driven Monitoring ، Predictive Maternal Health ، Digital Pregnancy Technologies