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Artificial Intelligence (AI) is revolutionizing healthcare by enhancing predictive capabilities, particularly in managing pregnancy and delivery complications. This paper explores how AI, leveraging machine learning (ML) and deep learning (DL) techniques, can forecast potential complications during pregnancy and childbirth. Through an extensive review of existing literature and analysis of various AI methodologies, the paper evaluates AI's effectiveness in predicting complications such as preeclampsia, gestational diabetes, fetal distress, and postpartum haemorrhage. It discusses the methodologies used, presents results from recent studies, and highlights practical challenges including data quality, model interpretability, and clinical integration. The paper concludes with recommendations for future research and practical implementations to maximize AI's potential in obstetrics.

Advanced Practice Nursing (APN) encompasses several roles that extend beyond traditional nursing responsibilities, providing comprehensive care in diverse healthcare settings. This paper explores the various advanced practice nursing roles, including Nurse Practitioners (NPs), Clinical Nurse Specialists (CNSs), Nurse Anesthetists (CRNAs), and Nurse Midwives (CNMs). By examining the scope of practice, responsibilities, and impact on patient care for each role, this study aims to provide a comparative analysis of advanced practice nursing roles, highlighting their contributions to the healthcare system. Advanced Practice Nursing, Nurse Practitioners, Clinical Nurse Specialists, Nurse Anesthetists, Nurse Midwives, Comparative Analysis Advanced Practice Nursing (APN) includes roles that build upon the foundational knowledge and skills of registered nurses, enabling them to provide a higher level of patient care. APNs are trained to perform complex assessments, make clinical decisions, and manage patient care in various settings. The four primary APN roles— Nurse Practitioners (NPs), Clinical Nurse Specialists (CNSs), Nurse Anesthetists (CRNAs), and Nurse Midwives (CNMs)—each have unique responsibilities and scopes of practice. This paper provides an overview of these advanced practice nursing roles, examining their distinct functions, educational requirements, and contributions to patient care.

Artificial Intelligence (AI) is revolutionizing healthcare by enhancing predictive capabilities, particularly in managing pregnancy and delivery complications. This paper explores how AI, leveraging machine learning (ML) and deep learning (DL) techniques, can forecast potential complications during pregnancy and childbirth. Through an extensive review of existing literature and analysis of various AI methodologies, the paper evaluates AI's effectiveness in predicting complications such as preeclampsia, gestational diabetes, fetal distress, and postpartum haemorrhage. It discusses the methodologies used, presents results from recent studies, and highlights practical challenges including data quality, model interpretability, and clinical integration. The paper concludes with recommendations for future research and practical implementations to maximize AI's potential in obstetrics.

Advanced Practice Nursing (APN) encompasses several roles that extend beyond traditional nursing responsibilities, providing comprehensive care in diverse healthcare settings. This paper explores the various advanced practice nursing roles, including Nurse Practitioners (NPs), Clinical Nurse Specialists (CNSs), Nurse Anesthetists (CRNAs), and Nurse Midwives (CNMs). By examining the scope of practice, responsibilities, and impact on patient care for each role, this study aims to provide a comparative analysis of advanced practice nursing roles, highlighting their contributions to the healthcare system. Advanced Practice Nursing, Nurse Practitioners, Clinical Nurse Specialists, Nurse Anesthetists, Nurse Midwives, Comparative Analysis Advanced Practice Nursing (APN) includes roles that build upon the foundational knowledge and skills of registered nurses, enabling them to provide a higher level of patient care. APNs are trained to perform complex assessments, make clinical decisions, and manage patient care in various settings. The four primary APN roles— Nurse Practitioners (NPs), Clinical Nurse Specialists (CNSs), Nurse Anesthetists (CRNAs), and Nurse Midwives (CNMs)—each have unique responsibilities and scopes of practice. This paper provides an overview of these advanced practice nursing roles, examining their distinct functions, educational requirements, and contributions to patient care.