Empowering breakthroughs in care through imaging
RadNet, Inc. to Acquire iCAD, Inc. to Accelerate AI-Powered Early Detection and Diagnosis of Breast Cancer
The acquisition will unite complementary leading
AI-powered cancer detection and workflow solutions focused on improving the
accuracy and early detection of breast cancer
Future of AI in radiology
AI is revolutionizing radiology, enhancing everything
from workflow efficiency to cancer detection. The shift is happening fast—and
the impact is undeniable.
Find out what trends are shaping the future of AI in radiology.
Find out what trends are shaping the future of AI in radiology.
GE HealthCare and RadNet Forge Collaboration to Transform Imaging Systems with SmartTechnology™
Discover SmartMammo™, our AI-powered SaaS
solution
designed to seamlessly
integrate into existing breast cancer diagnostic workflows, enhancing diagnostic
accuracy and workflow efficiency.
Kees Wesdorp on leading the AI revolution in healthcare
In an era where technology is reshaping healthcare,
DeepHealth stands at the forefront. Kees Wesdorp, President and CEO of
DeepHealth, shares his insights on the pivotal role of artificial intelligence
(AI) and advanced informatics in revolutionizing imaging-based care for
real-world impact.
Hear from Sham Sokka on the future of SmartTechnology™
SmartTechnology™ gives us the capability to bring
informatics and imaging systems much closer together. In radiology, the imaging
systems are separate from the informatics layer. Think about PACS versus an
imaging system – completely separated with discrete workflows.
Discover our AI-powered portfolio of solutions designed to enable operational efficiency and clinical confidence for better care delivery. At the heart of our portfolio is a pioneering cloud-native operating system – the DeepHealth OS – that unifies data across the clinical and operational workflow and personalizes AI-powered workspaces for everyone in the radiology continuum.
Screening at scale: empowering 300+ sites globally
DeepHealth technology enables the feasibility of new screening programs by enhancing accuracy, while empowering radiologists to optimize their expertise, particularly addressing the most complex problems where it is most needed.
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