User Guide

Obstetric screening is 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. To address these issues, SonoScape has
launched a smart obstetric screening system based on articial intelligence (AI)
and other technologies. The system automates output of screening results through
automatic structure recognition, measurement, classication, and diagnosis to
signicantly enhance eciency and reduce the workload of doctors.
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The S-Fetus 4.0 Obstetric Screening Assistant
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uses deep learning to power a
smart scenario-based work model that allows doctors to perform sonography
without the need to manually control equipment and enables real-time dynamic
acquisition of standard planes and automatic measurement of fetal biometry and
growth index, an industry rst. Sonoscape’s aim is to simplify obstetric screening
workows and make it easier for patients to get care. To enhance its performance,
SonoScape used the Intel® oneAPI Base Toolkit for cross-architecture
development and optimization to speed processing of multimodal data. Through
a platform based on the Intel® Core™ i7 processor, performance was increased by
approximately 20x
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while achieving higher price performance, cross-architecture
scalability, and exibility.
Background: Applications and Challenges of Diagnostic
Ultrasound in Obstetric Examinations
Diagnostic ultrasound is a technique in which ultrasound is used to measure the
data and morphology of a patient’s physiology or tissue structure to discover
diseases and provide medical guidance.
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Owing to safety, non-invasiveness,
cost performance, practicality, repeatability, and broad adaptability, the market
for diagnostic ultrasound equipment is growing rapidly. According to data from
Fortune Business Insights, the size of the global diagnostic ultrasound equipment
market was USD 7.26 billion in 2020, and is expected to reach USD 12.93 billion by
the end of 2028, representing a compound annual growth rate (CAGR) of 7.8%.
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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.
Intel® oneAPI Base Toolkit Helps SonoScape
Optimize the Performance of its S-Fetus 4.0
Obstetric Screening Assistant
Health & Life Sciences
Solution Brief
With our commitment
to the independent
R&D and innovation
of medical equipment,
SonoScape is pleased
to state that our
cutting-edge AI
technology, powered
by Intel® oneAPI
architecture, has
been able to realize
its potential to serve
medical institutions
around the world.
Feng Naizhang
Vice President, SonoScape
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