INTERDISCIPLINARY WORK OF SCIENCE AND TECHNOLOGY IN MATERNAL AND CHILD 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.