World’s First Smart Obstetric Screening Technology Based on Deep Learning Simplifies Sonography Process

Now, a new smart obstetric screening system based on artificial intelligence (AI) automates output of screening results through automatic structure recognition, measurement, classification, and diagnosis to significantly enhance efficiency and reduce the workload of doctors.

SonoScape Medical Corp. (Shenzhen, China) has launched S-Fetus 4.0 Obstetric Screening Assistant, the world’s first smart obstetric screening technology based on deep learning that allows doctors to automatically acquire standard planes and measure fetal biometry with fast performance and accuracy. Though 2D ultrasound is indispensable for the diagnosis of obstetric and gynecological diseases (especially in intrauterine fetal testing), conventional ultrasonography techniques rely heavily on the expertise of the sonographer. As time-consuming and skill-intensive manual operations are required throughout the entire process, ultrasonography poses challenges to hospitals in smaller communities and less-developed areas that have limited access to medical technology.

To address these issues, SonoScape’s smart diagnostic ultrasound solution based on AI technologies is capable of classification, detection, and segmentation of a variety of anatomical structures from ultrasound images through deep learning algorithms represented by convolutional neural networks (CNNs). Without the need for manually repetitive operation of the device, the system is designed with one-click simple touch to streamline the sonogram process and improve scanning efficiency. The S-Fetus 4.0 will run on SonoScape S60, P60, P60 Exp, S50 Elite, P50 Elite and P40 Elite, both in the North America and ROW region.

"Our obstetric screening assistant has achieved breakthroughs in terms of performance and scalability and now it can offer more efficient means of smart obstetric diagnosis that assist doctors in precise work to ensure better patient outcomes," said Zhou Guoyi, Head of SonoScape Medical Innovation Research Center.

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