We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

MedImaging

Download Mobile App
Recent News Radiography MRI Ultrasound Nuclear Medicine General/Advanced Imaging Imaging IT Industry News

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

By MedImaging International staff writers
Posted on 27 Apr 2022

Obstetric screening is the key to reducing maternal and perinatal mortality; however, conventional obstetric screening methods require high levels of medical expertise and are both time- and labor-intensive. 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.


Image: SonoScape S-Fetus 4.0 Obstetric Screening Assistant (Photo courtesy of SonoScape Medical)
Image: SonoScape S-Fetus 4.0 Obstetric Screening Assistant (Photo courtesy of SonoScape Medical)

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.

Related Links:
SonoScape Medical Corp


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
Oncology Information System
RayCare
New
Breast Imaging Workstation
SecurView
New
X-Ray Detector
FDR-D-EVO III

Latest Ultrasound News

Non-Invasive Ultrasound Imaging Device Diagnoses Risk of Chronic Kidney Disease

Wearable Ultrasound Platform Paves Way for 24/7 Blood Pressure Monitoring On the Wrist

Diagnostic Ultrasound Enhancing Agent to Improve Image Quality in Pediatric Heart Patients