RadNet, Inc. is the largest U.S. provider of freestanding outpatient diagnostic imaging services, operating over 400 centers across key markets, including Arizona, California, Florida, and New York. In addition to imaging, RadNet offers AI-driven solutions under the DeepHealth brand, radiology IT, and teleradiology services. With over 10,000 employees and affiliated radiologists, RadNet is dedicated to advancing healthcare through innovation and expertise.
Lunit is a leading provider of AI solutions for cancer diagnostics and therapeutics, with a mission to conquer cancer through AI.
Our clinically proven AI enables healthcare providers to detect cancer earlier, make more precise treatment decisions, and improve patient outcomes — transforming how cancer is diagnosed and treated.
Our technology spans the entire cancer continuum, from risk prediction and screening optimization to early detection and precision oncology.
Lunit’s breast and chest imaging AI boosts diagnostic accuracy and efficiency, while our pathology AI is leveraged by leading pharmaceutical companies to drive biomarker discovery and companion diagnostics (CDx) development.
Trusted by 10,000+ sites across 65+ countries,
Lunit continues to redefine global standards in data-driven cancer care.
Learn more about our technology and mission at www.lunit.io/en
At Enlitic, we believe that the power of artificial intelligence can transform healthcare by enabling effective data management and improving clinical workflows.
Our mission at Enlitic is to intelligently manage healthcare data using the power of artificial intelligence to expand capacity and improve clinical workflows and create a foundation for a real-world evidence medical image database for healthcare providers.
By standardizing DICOM studies and creating a consistent nomenclature, radiologist workflow is improved and the promises of PACS are finally realized. Enlitic is reclaiming radiologists’ time and improving data quality that has impacts on downstream workflows. Our solutions help radiologists be more efficient within the radiology workflows.
ENDEX, for data standardization, empowers researchers to overcome the complexities of medical imaging data and simplify data processing.
ENCOG addresses this issue by intelligently removing PHI while retaining crucial clinically relevant information. This unique approach offers several benefits to researchers.
Your PACS can only work with the data it receives. Too often the inputs are inconsistent, inaccurate or missing and this impacts the outputs. Even more often administrators are called upon to fix mundane data issues that could be easily resolved with some level of data governance.
PACS administrators will have more time to maintain the PACS and deploy new AI algorithms in minutes. Radiologists become more efficient as they no longer have broken hanging protocols and misrouted studies. The IT team will have less worry about network capacity. You and your team can create additional revenue streams while saving in radiology and technology departments.
Enlitic is focused on developing tools that solve the longstanding challenges in radiology.
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