Enterprise Imaging
DeepHealth Picture Archiving and Communications System (PACS)
Multi-monitor viewer with 3D volume rendering and customizable
dashboards.
The next-generation solution for radiology imaging workflow.
DeepHealth PACS Evolution is a next-generation Picture Archiving and Communication System designed to
enhance radiology imaging workflows with a modern interface, 64-bit diagnostic viewer and server,
advanced visualization tools, and flexible cloud or in-house deployment options. It offers features such
as 3D volume rendering, customizable dashboards, multi-monitor diagnostic viewing, advanced mammography
capabilities, enhanced mammography hanging protocols, and support for breast tomosynthesis and CAD. The
system also supports Vendor Neutral Archiving (VNA) and seamless integration with third-party systems,
enabling quick data access without costly migrations or downtime.
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Scalability
Interoperability
Improved Image Streaming
Viewer Customization
V9 Viewer Capabilities
“We service several urgent care centers and a specialized pediatric center that all require FAST turn-around times. eRAD allows us to get the studies to the on-call radiologist as quickly as possible, which enables immediate results to the ordering physician.”
Allen Rothpearl, MD
CEO
“The difference in our workflow is significant. Not having to switch to different reporting formats, not having to learn and log into multiple systems—all that expands the possibilities for our practice and speeds our turnaround times.“
Dr. Aakash Singh, Radiologist
Vice President of Operations for MRI
Supports hosted and on-cloud deployments
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European Society of Thoracic Imaging (ESTI) Winter Course
GE HealthCare and RadNet Forge Collaboration to Transform Imaging Systems and Accelerate the Adoption of Artificial Intelligence (AI) with SmartTechnology™
November 11, 2024: Today, GE HealthCare (Nasdaq: GEHC) and DeepHealth, Inc., a global leader in AI-powered health informatics and a wholly-owned subsidiary of RadNet, Inc. (Nasdaq: RDNT), announced a strategic collaboration to further the innovation, commercialization, and adoption of AI in imaging.
