In this expert insights session from ISUOG 2024, Prof. Liona Chiu Yee Poon presents how maternal cardiac hemodynamic monitoring can be integrated into pregnancy care using Samsung’s AI ultrasound solution. The session focuses on its role in predicting and preventing preeclampsia by combining maternal factor assessment with advanced biomarker analysis and cardiovascular monitoring.
Prof. Poon reviews the current approach to preeclampsia screening, which traditionally relies on maternal history and clinical factors. She explains that by incorporating additional parameters — such as blood pressure, placental growth factor, and uterine artery Doppler — detection rates can be significantly improved. AI-driven hemodynamic monitoring further enhances these assessments by providing automated, precise measurements of maternal cardiovascular function throughout pregnancy.
The technology enables continuous and accurate monitoring of cardiac output, systemic vascular resistance, and other key parameters, supporting timely interventions for women at risk. Prof. Poon highlights evidence showing that this combined approach achieves high detection rates, particularly for preterm preeclampsia, and offers clinicians a more comprehensive view of maternal cardiovascular health.
The session concludes with guidance on integrating maternal cardiac hemodynamic monitoring into routine obstetric care, emphasizing how AI solutions can improve workflow efficiency, diagnostic accuracy, and patient outcomes in high-risk pregnancies.
