Short Review: Maternal and Fetal Health with Artificial Intelligence

Abstract

This paper explores the use of artificial intelligence (AI) and machine learning to predict risks in maternal and fetal health, including conditions like preeclampsia, gestational diabetes, preterm birth, and fetal growth abnormalities. By harnessing large datasets from health records, imaging, and real-time monitoring, AI models enhance risk assessment and facilitate early intervention. Although challenges in data privacy and model transparency persist, AI integration in maternal-fetal care hold promise for improved outcomes and healthier pregnancies.

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