Empowering Prenatal Care Using AI Image Processing for Early Detection of Pregnancy Complications

Author:

Bansal Kanishk1ORCID

Affiliation:

1. Gulzar Group of Institutes, India

Abstract

AI image processing has emerged as a transformative tool in the realm of maternal healthcare, particularly in the early detection of pregnancy complications. By harnessing the power of artificial intelligence, healthcare providers can now leverage advanced algorithms to analyze medical images such as ultrasound scans, MRI images, and fetal monitoring data with unprecedented accuracy and efficiency. These AI-based systems excel at detecting subtle abnormalities and anomalies that may indicate potential risks to maternal and fetal health, including markers of fetal growth restriction, placental abnormalities, and congenital anomalies. By facilitating earlier detection and intervention, AI image processing empowers healthcare providers to proactively manage pregnancy complications, thereby improving outcomes for both mother and baby. These predictive models enable healthcare providers to assess the risk of complications early in pregnancy and tailor interventions accordingly.

Publisher

IGI Global

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