In this AIUM + Samsung webinar, Dr. Martin R. Chavez presents how artificial intelligence is transforming perinatal ultrasound and redefining clinical workflows in maternal-fetal medicine.
The session begins with an overview of the challenges faced in traditional ultrasound interpretation and how AI-powered solutions provide new opportunities to enhance diagnostic precision. Key applications include AI ultrasound tools for automated fetal measurements, which reduce operator variability, and anomaly detection in pregnancy, enabling earlier recognition of structural abnormalities.
Dr. Chavez highlights the integration of AI in obstetrics, demonstrating how machine learning algorithms support clinicians in identifying anomalies, improving reproducibility, and accelerating clinical decision-making. The lecture also covers how intelligent imaging is embedded into maternal-fetal workflows, assisting specialists in monitoring fetal growth, evaluating complex pregnancies, and ensuring consistent reporting standards.
Throughout the presentation, real-world use cases illustrate the clinical impact of AI technologies. These examples show how automated analysis reduces time, improves accuracy, and ultimately enhances patient care.
By the end of the webinar, participants gain a comprehensive understanding of the role of AI in perinatal ultrasound, recognizing its value in advancing maternal-fetal medicine, strengthening diagnostic confidence, and supporting improved outcomes for pregnant patients.
For further insight into the integration of AI in obstetrical imaging, watch Dr. Martin R. Chavez’s session, HeartAssist™: Bringing Artificial Intelligence to the World of Obstetrical Scanning.
ㆍ The contents of the webinar should not be recorded or redistributed without the consent of the speakers and Samsung.
ㆍ The products, features, and options presented may not be approved, cleared, or commercially available in all jurisdictions. Please contact your local representative for specific product availability in your region.
ㆍ This content is intended for healthcare professionals only. The information presented is for educational purposes and should not be considered medical advice.
ㆍ The clinical results and patient outcomes presented may not be typical and can vary depending on multiple factors including patient condition, treatment technique, and healthcare setting.
ㆍ While we strive to provide accurate and up-to-date information, Samsung makes no warranties regarding the completeness, reliability, or accuracy of the content presented.
