AI can make maternal ultrasonography more accessible, accurate and efficient

Ultrasound technology has been instrumental in improving maternal care by providing detailed fetal imaging and diagnostic capabilities. Dr. Yinka Oyelese, a renowned obstetric imaging director, emphasizes that the integration of artificial intelligence (AI) with ultrasound represents a revolutionary advancement, comparable to the impact of ultrasound itself.

AI enhances ultrasound by automating image analysis, offering decision support tools, and improving the accuracy and efficiency of scans. This combination allows for quicker and more accurate identification of fetal anomalies, biometrics, and diagnoses, ultimately enhancing patient outcomes in maternal care.

Dr. Oyelese highlights several ways AI benefits maternal ultrasound:

Improved Efficiency: AI automates analysis, speeding up image acquisition and interpretation, reducing the time and effort required for detailed scans.

Enhanced Accuracy: AI aids in identifying fetal structures accurately, supporting sonographers and physicians in their examinations.

Telemedicine: AI enables remote assessments and consultations, extending the reach of maternal-fetal care to underserved populations.

Quality Assessment: AI identifies subtle patterns and helps improve image quality, enhancing diagnostic accuracy and early intervention.

Education and Research: AI supports education through simulations and facilitates research opportunities in maternal-fetal medicine.

Dr. Oyelese's decision to join Sonio's scientific advisory board reflects his commitment to advancing pregnancy care through accessible and effective ultrasound solutions. Sonio's mission aligns with his goal of improving global access to high-quality prenatal care using AI-driven ultrasound technology.

Together, ultrasound and AI hold immense potential to transform maternal care, making it more accessible, accurate, and efficient, especially in regions where resources are limited. This collaboration aims to bridge gaps in prenatal care and improve outcomes for expectant mothers worldwide.