The Augmented Pregnancy Era: AI and Digital Tools Ensuring Maternal Safety

Introduction The rise of AI and digital health tools has accelerated a shift toward augmented pregnancy, where technology enhances maternal safety through real-time monitoring, risk modeling, and data-supported clinical decisions. This study examines how augmented systems strengthen maternal safety by improving early detection and coordinated care. Method A three-phase approach was implemented: a review of ۹۰ international studies, Delphi rounds with ۱۸ experts in obstetrics and digital health, and evaluation of five telemonitoring programs. Data were triangulated to assess effectiveness, barriers, and safety outcomes associated with augmented pregnancy technologies. Results Results demonstrated that AI-driven risk prediction models increased accuracy of identifying high-risk pregnancies by ۳۰%. Digital monitoring platforms reduced emergency admissions through early alerts for hypertension and fetal compromise. Teleconsultation tools improved continuity of care and reduced geographical disparities. Key limitations involved cybersecurity vulnerabilities, inadequate digital literacy, and lack of standardized regulatory frameworks. Conclusion Augmented pregnancy technologies significantly enhance maternal safety by enabling proactive, data-guided care. Ensuring long-term success requires robust governance, secure infrastructures, and equitable access to digital maternal health solutions.

کلیدواژه ها:

Augmented Pregnancy ، Maternal Safety ، AI-Based Risk Prediction ، Digital Health Monitoring