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    Samsung Introduces Intelligent Assist Solutions at Virtual ISUOG World Congress 2020 – Samsung Global Newsroom


    Samsung’s new solutions showcase its commitment to
    Life-long healthcare solutions for women

    Intelligent Assist solutions are Samsung Medison’s latest advancements
    in ultrasound and OB/GYN healthcare

    Samsung Medison, a global medical equipment company and an affiliate of Samsung Electronics, is introducing its new Intelligent Assist solutions, expanding its capabilities in diagnostic solutions. The company has announced the introduction of Intelligent Assist solutions at the virtual ISUOG (International Society of Ultrasound in Obstetrics & Gynecology) World Congress 2020.

     

    Examinations for women with high risk pregnancy, early diagnosis of fetal abnormalities, and automatic measurement solutions in ultrasound for delivery—quality healthcare solutions enabled by Samsung Medison—have been acknowledged and noted in the medical profession.

     

    The devices will be showcased on an online platform prepared for the virtual event, which will feature webinars, virtual exhibitions and chat tools. Samsung Medison will display its new HERA series of ultrasound devices (HERA W10, HERA I10, HERA W9) featuring its new advanced technologies and solutions. The various Intelligent Assist solutions, elaborating on the details will be presented in a video format.

     

    The solutions which expand across the full spectrum of diagnostic functions and capabilities include the following:

     

    • BiometryAssist™ – Measures the fetal growth index quickly and confidently with the view that has been acquired semi-automatically.
    • HeartAssist™1 – Helps to measure and provide a suitable guideline view for an early finding of congenital heart abnormalities for the fetus before it is born, utilizing deep learning.
    • LaborAssist™ – Allows easy discovery of changes over the measured time, and provides demo video and animation images for clear explanation and communication of the delivery process to the mothers.

     

    BiometryAssist™ and LaborAssist™ are expected to simplify the user’s workflow by not only reducing simple repetitive manual tasks, but also increasing measurement accuracy and providing consistent measurements.

     

    These two features have been developed by incorporating the Intel Distribution of the OpenVINO toolkit into Samsung’s diagnostic algorithm. By using the OpenVINO toolkit, powered by Intel processors, data processing moves at a speed 4.7 times faster than equipment without the OpenVINO enhancements.2

     

    “Our Intelligent Assist solutions enhance patient comfort and clinician’s convenience, reduce scan time, improve diagnosis accuracy, and increase system throughput. Samsung will continue to develop the next-generation ultrasound solutions in collaboration with Intel for the ongoing development of Intelligent Assist solutions,” announced Won-Chul Bang, Vice President of Health & Medical Equipment Business, Samsung Electronics and Samsung Medison.

     

    The event also includes three rounds of webinars, during which world prominent OB/GYN specialists will share the clinical results of various diagnostic tools, including MV-Flow™, LumiFlow™ and CrystalVue™, which are available in the HERA series.

     

    For more information on Samsung’s healthcare division, its subsidiaries and products please visit https://www.samsunghealthcare.com.

     

    Intel, the Intel logo, and OpenVINO are trademarks of Intel Corporation or its subsidiaries.

     

    The screen that automatically recognizes and annotates the heart on the ‘Fetal Cardiac Ultrasound’ screen when HeartAssist™ is executed.

     

    The screen that automatically recognizes the heart and displays measured values on the ‘Fetal Cardiac Ultrasound’ screen when HeartAssist™ is executed.

     

    1510(k) pending at FDA

    2Source: Internal Samsung testing.
    System configuration: Intel Core i3-4100Q CPU @ 2.4 GHz, 8 GB memory; OS: 64-bit Windows 10.
    Inference time without OpenVINO enhancements was 480 milliseconds. Inference time with OpenVINO enhancements was 85 milliseconds.



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