Korea’s Poskom exhibited the portable X-ray system “AirRay-Mini”. This product provides X-ray images for fast and accurate medical services in emergency situations and in environments where patient movement is restricted. The product features an easy-to-use design similar to a digital camera and AI, providing clear medical images with low radiation doses. Users can immediately check the images on their mobile devices.

AirRay-Mini

Korea’s HHS has developed an IoT system that combines biosignal processing technology and composite sensing technology to analyze and monitor the risk status and health of individual workers in real time for the four most common types of accidents that occur in high-risk workplaces (falls, collisions, suffocation, and heat stroke). The system determines risks through analysis of individual workers’ movement patterns. It provides data-based worker safety management services combined with sensor-based harmful gas detection technology.
Netherlands’ WearM.AI introduced its optical-based wearable solution “Beyond01”. It deeply senses muscle load and develops sports coaching with AI. The compact shoepod captures over 86 million data points during a three-hour sports session, providing lab-quality insights into muscles and joints, such as knee contact force indicators that were previously only accessible in a lab. Beyond01’s AI analyzes complex data to provide coaching that improves performance and prevents injuries.
Athletes and sports enthusiasts can interact with a digital coach via text, voice, or video on their smartphones and receive customized advice on form, recovery, and injury prevention.
The shoepod weighs 22 grams. Simply clip it onto your sports shoes to use it.

Beyod01

South Korean startup Hurotics unveiled its wearable rehabilitation robot, “H-medi.”
It is an all-in-one wearable medical robot for walking disorders. It seamlessly integrates a full-cycle rehabilitation process. It is equipped with AI that can predict disease prognosis with 92% accuracy.
The AI ​​analyzes individual walking patterns to improve treatment and increase walking speed by more than 10%. The on-device AI uses adaptive algorithms to assess and assist with 95% accuracy. It is said to improve walking efficiency by up to 21%.
The company claims that it can effectively address issues such as the increasing number of walking disorders in an aging society.

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