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MGI Tech Demonstrates Its MGIUS-R3 Robotic Ultrasound System at Arab Health 2022

By Dan Gueron, Publisher
Posted on 24 Jan 2022

MGI Tech Co. More...

Ltd. (Shenzhen, China) took part in the Arab Health Exhibition and Congress (Arab Health) 2022 online from January 5 to February 28 where the company demonstrated its MGIUS-R3 robotic ultrasound system.

MGIUS-R3, the world’s first remote robotic ultrasound system, has been developed independently by MGI in order to solve the problem of shortage of ultrasound doctors in rural areas and reduce heavy workload for current doctors. MGI’s remote ultrasound robot is the world‘s first ultrasonic device that can achieve “remote real-time diagnosis” without the need for a physician to be at the same location as the patient. The product combines robotic technology, remote real-time control system and high-resolution ultrasound imaging to overcome the distance limitations of traditional ultrasound diagnostic methods.

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. Its humanized design can enable both doctor and patient to achieve real-time communication through the interactive screen, and its flexible manipulator system can simulate manual operation throughout the process to perfectly reproduce expert techniques. The patients can maintain communications with doctors on screen throughout the diagnosis.

MGIUS-R3 helps to solve the shortage of medical resources and aims to improve the uneven distribution of medical resources, making ultrasound diagnosis more accessible. The use of the remote ultrasound system not only helps distribute high-quality medical resources to aid resource-constrained areas, but also reduces the risk of cross-infection of medical staff and eases the burden of diagnosis and treatment of COVID-19 patients. During the COVID-19 epidemic, MGIUS-R3 was delivered to front line hospitals 2,000 kilometers away, helping doctors to conduct remote diagnosis, effectively reduce the risk of transmission of COVID-19 to medical personnel and save the lives of patients.

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