Integration of Artificial Intelligence and Tele-Nursing in Managing High-Risk Pregnancies: A Path Toward Equitable Global Maternal Care

High-risk pregnancies contribute significantly to maternal and neonatal morbidity, especially in low-resource settings. Artificial intelligence (AI) and tele-nursing offer innovative solutions for early detection, continuous monitoring, and personalized care. The objective of this study is to conduct a systematic review assessing the effectiveness and applications of AI-integrated tele-nursing in managing high-risk pregnancies. A systematic review was conducted following PRISMA guidelines by searching PubMed, Scopus, Web of Science, and CINAHL for articles published between ۲۰۱۵ and ۲۰۲۵. Studies evaluating AI-assisted tele-nursing interventions in high-risk pregnancies were included. Data extraction and quality assessment followed standardized protocols. From ۱,۲۴۵ records, ۳۲ studies were included. Among these, ۶۵% focused on early prediction of complications, ۵۵% on remote monitoring, and ۴۲% on patient satisfaction. Data sources included electronic health records, home monitoring devices, and tele-nursing platforms. AI algorithms, particularly predictive models and neural networks, achieved ۸۲-۹۰% accuracy in forecasting preeclampsia, gestational diabetes, and preterm birth. Integration of AI with tele-nursing enhanced clinical decision-making, expanded access to care in underserved areas, and reduced unnecessary visits. AI-integrated tele-nursing represents a transformative approach to managing high-risk pregnancies and promoting equity in maternal health. Future research should focus on scalable implementation, ethical frameworks, and training programs.

کلیدواژه ها:

Artificial intelligence ، tele-nursing ، high-risk pregnancy ، maternal health ، predictive analytics