NANO-X IMAGING LTD, an innovative medical imaging technology company, announced a strategic reseller partnership with 3DR Labs, LLC, one of the largest providers of medical image post-processing services in the United States. Through this collaboration, 3DR Labs will offer Nanox.AI’s FDA-cleared solutions to its network of more than 1,800 hospitals, diagnostic imaging centres, and healthcare providers.
Under the terms of the collaboration, 3DR Labs will integrate Nanox.AI’s advanced, FDA-cleared software solutions, HealthCCSng (AI cardiac solution), HealthOST (AI bone solution), and HealthFLD (AI liver solution), into its imaging services portfolio, making these AI-powered tools available to healthcare providers across its nationwide network.
The partnership enables 3DR Labs to market, distribute Nanox.AI's software solutions to its client base across North America. The agreement positions Nanox.AI's technology to support early signs of disease detection and improve clinical outcomes management initiatives at scale across one of the largest medical imaging service networks in the United States.
Founded in 2005, 3DR Labs provides continuous access to more than 300 expert radiologic technologists, cutting-edge imaging software, and AI-enabled workflow solutions. 3DR’s AI Labs, a vendor-agnostic platform, connects imaging departments to a gateway of 3D workflow automation, delivering quality, speed, and efficiency across healthcare systems.
“This partnership represents one of our most significant U.S. reseller relationships to date and meaningfully expands our commercial reach,” said Erez Meltzer, CEO and Acting Chairman of Nanox. “3DR’s extensive, established relationships give us a powerful channel to deliver our AI solutions to nearly two thousand healthcare organisations, which can use them to detect chronic diseases earlier.”
Christy Mutchler, Vice President, Solutions Management of 3DR Labs, said, “Nanox.AI's FDA-cleared solutions align perfectly with the population health priorities of the hospitals and imaging centres we serve. These tools can be seamlessly integrated into existing radiology workflows without disrupting clinical operations.”
