SEOUL, South Korea, Oct. 5, 2021 /PRNewswire/ -- South Korean artificial intelligence (AI) developer, VUNO Inc., announced today that the company closed a deal with global medical device manufacturer, Samsung Electronics Co., Ltd., to embed VUNO's artificial intelligence-driven chest X-ray diagnostic solution, VUNO Med®-Chest X-ray™ into Samsung's GC85A premium ceiling type digital radiography system. 

The latest contract follows an earlier deal in June with Samsung to supply the VUNO Med®-Chest X-ray™ solution to the electronics maker's mobile digital radiography system GM85, making the AI solution an adjunct to Samsung's mobile and ceiling type digital X-ray systems and available for use by customers in Korea as well as Europe and other key markets around the world.

VUNO Med®-Chest X-ray™ is an AI-empowered medical device that assists clinicians in the detection of areas that are suspicious for pulmonary diseases such as tuberculosis and pneumonia by accurately identifying thoracic abnormalities on chest radiographs. Its lightweight feature driven by the optimization of AI calculation algorithm is the key factor that enables seamless integration with a wide range of X-ray devices, delivering AI results on the spot upon scanning an image.

Hyun-jun Kim, co-founder and CEO of VUNO said that "thanks to the solution's excellent capabilities as well as a proven track record in a wide range of X-ray devices under various clinical settings, we were able to sign another deal to include VUNO Med®-Chest X-ray™ in the two premium digital X-ray systems of Samsung Electronics". He added, "VUNO will continue to work closely with global medical device manufactures including Samsung Electronics to further expand our presence in the world market."

Woo-young Jang, Samsung Electronics' Head of DR Business Team said, "This deal will allow Samsung Electronics to provide an advanced system that integrates AI technology into our key premium X-ray devices to markets world-wide."

About VUNO Inc.

VUNO is a Seoul-based leading AI medical software company that applies deep learning to develop data-driven AI medical solutions using medical imaging, pathology, biosignal and medical speech data. We strive to present a whole new level of experience to medical practitioners in their day-to-day workflows, empowering them to make better diagnostic decisions faster and more accurately and to provide quality patient care and treatment planning to patients. For more information, visit www.vuno.co.

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http://www.vuno.co