Artificial Intelligence in Prenatal Screening: Implications for OBG Nursing

Author(s)	Ms. SMITHA SIVAN, Ms. KRINAL CHAUHAN
Country	India
Abstract	Artificial Intelligence (AI) is revolutionizing the healthcare landscape, including obstetrics and gynecological (OBG) nursing. This article explores the integration of AI in prenatal screening and its implications for nursing practice. AI technologies such as clinical decision support systems, machine learning algorithms, mobile health applications, and robotics are increasingly used to enhance diagnosis, monitoring, and treatment of maternal and fetal health conditions. From fetal heart rate monitoring and cardiotocography interpretation to the prediction of gestational diabetes, preeclampsia, and preterm labor, AI offers improved accuracy, timely interventions, and consistent decision-making. AI also supports nurses in data analysis, enhances workflow efficiency, and reduces human error. While AI cannot replace nurses, it serves as a powerful tool to complement nursing care, enabling better outcomes in maternal health. As AI continues to evolve, its role in prenatal and postnatal care promises a transformative shift in OBG nursing practice.
Keywords	Artificial Intelligence, Prenatal Screening, OBG Nursing, Maternal Health, Clinical Decision Support
Field	Medical / Pharmacy
Published In	Volume 7, Issue 3, May-June 2025
Published On	2025-06-22

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