Cloud PACS
AI

Lunit Medical AI Partners with Emergent Connect for Cloud PACS

This marks the first collaboration between a South Korean medical AI company and a US based cloud based PACS provider.

Lunit (lunit.io), a South Korean medical AI software company, announced a partnership with Emergent Connect (www.emergentconnect.com), a leading provider of cloud-based PACS software. This partnership will bring AI solutions to Emergent Connect’s imaging cloud customer base, allowing AI to be more easily accessible to its clients.

Emergent Connect manages millions of imaging records per year and helps thousands of healthcare professionals across hospitals, imaging centers and clinics provide the best patient care possible. Through this collaboration, healthcare centers using Emergent Connect software will be able to experience cutting-edge AI solutions without additional installation or configuration.

Lunit is an AI software company devoted to developing advanced medical image analytics and data-driven imaging biomarkers via deep learning technology. The company’s solution is embedded in imaging devices and PACS systems of major vendors such as Fujifilm and GE Healthcare, reaching around 40% of global X-ray market share. This is the first time Lunit is collaborating with an online cloud-based PACS company.

“We are excited to partner with the Lunit team and to execute on the vision of providing our clients with the very best workflow around AI over our cloud based solutions.  The prospect of running Lunit’s solutions on our medical exams is an exciting opportunity for both our radiologists as well as the patients we serve across the country,” says Mike Spears, co-founder & EVP of Emergent Connect. 

“It is a great pleasure to reach more healthcare professionals by expanding our portfolio from traditional PACS to cloud-based software as well,” said Brandon Suh, CEO of Lunit. “As a global partner of Emergent Connect, we will continue developing our technology to provide AI solutions that open a new era of data-driven precision medicine.”

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