Artificial Intelligence in Prenatal Screening: Implications for OBG Nursing

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.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2025-06-22
DOI
https://doi.org/10.36948/ijfmr.2025.v07i03.49013
Primary Topic
Autopsy Techniques and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence in Prenatal Screening: Implications for OBG Nursing

Smitha Sivan, Krinal Chauhan
International Journal For Multidisciplinary Research
Autopsy Techniques and Outcomes
article

Artificial Intelligence in Prenatal Screening: Implications for OBG Nursing

Smitha Sivan, Krinal Chauhan
article en

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.

International Journal For Multidisciplinary ResearchVol. 7(3)
Openalex Percentile: Top 77%
Autopsy Techniques and Outcomes
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Artificial Intelligence in Prenatal Screening: Implications for OBG Nursing — Smitha Sivan, Krinal Chauhan · International Journal For Multidisciplinary Research (2025) | TGRS Research Map | TGRS