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MGI’s Remote Ultrasound Robot Won the Excellent Product Award of the "Global 5G Application Competition 2020"

Release date:2020-12-23Writer:MGIViews:297Share

SHENZHEN, CHINA, December 22, 2020 -- Under the guidance of Shenzhen Municipal People's government, the award ceremony of “Global 5G Application Competition 2020” was held in Shenzhen Bay Sports Center to unveil winners, which is sponsored by Shenzhen Development and Reform Commission.

 

MGI’s remote ultrasound robot won the Excellent Product Award of the "Global 5G Application Competition 2020”. Wu Li, general manager of MGI Yunying, a subsidiary company of MGI, received the award.

 

 

Because of its innovation and high applicability, and the advantage of solving the shortage of medical resources in remote areas, MGI’s remote ultrasonic robot demonstrated how 5G technology enables smart healthcare services and innovative development. MGIUS-R3 finally won the attention and recognition of the evaluation experts, stood out from the final competition, and won the excellent product award.



Wu Li (2nd R), general manager of MGI Yunying, accepted the award.

 

With the theme of "In Anywhere, In Future", the contest received 125 entries from six countries and regions. The expert panel consists of a number of academicians who evaluated the product based on its functionality and practicability, and finally selected out 11 awards in 3 categories, including one Best Application Award, five Award For Best Scene, and five Outstanding Products Award.


 

It took many years for MGI R&D team to develop the remote ultrasound robot. With the original intention to solve the shortage of medical resources in remote areas, the team has overcome multiple technical problems and obtained a number of patents.

 

The device is composed of doctor and patient terminals, which can be placed in different areas. They can be paired and connected through the network to help provide more high-quality services to areas with scarce medical resources. MGIUS-R3 can equip multiple sensitive ultrasound probes on its robotic arm, which can be operated by a doctor through a control system up to 1,000 kilometers away to complete ultrasonic scanning on the patient, and it will be transmitted to the patient side through the real-time network. The doctor can conduct remote diagnosis according to the real-time ultrasonic scanning images, and its flexible manipulator system can simulate manual operation throughout the process to perfectly reproduce expert techniques.

 

Through the real-time network transmission system, MGIUS-R3 can enable achieve real-time communication on screen throughout the diagnosis and achieve “remote real-time diagnosis” without the need for a physician to be at the same location as the patient. Its flexible manipulator system can simulate manual operation throughout the process to perfectly reproduce expert techniques.

 

 

 

In May 2020, MGIUS-R3 received Class III medical device qualification by the China National Medical Product Administration (NMPA), allowing it to enter the Chinese market and provide state-of-art long-distance ultrasound diagnostic services. MGIUS-R3 was also certified through the EC Full Quality Assurance System in March, which means the product has been approved to enter the EU market. As the world's first remote ultrasound robotic system, MGIUS-R3 combines robotic technology, remote real-time control system and high-resolution ultrasound imaging to overcome the distance limitations of traditional ultrasound diagnostic methods.

 

Since the COVID-19 outbreak, MGIUS-R3 has supported Wuhan's mobile hospitals -- Leishenshan Hospital (the hospital for critical patients infected by COVID-19) and Zhongnan Hospital of Wuhan University. The hospitals on the front line were able to complete diagnoses with the help of remote experts in hospitals thousands of miles away, which also reduced the risk of cross-infection of medical staffs.

 

 

Since founded in 2016, MGI has been committed to seeking innovations constantly, devote itself to building a complete landscape for digitalization in life sciences, and lead the development of core tools and technology in life science.