GE HealthCare and RadNet Forge Collaboration to Transform Imaging Systems and Accelerate the Adoption of Artificial Intelligence (AI) with SmartTechnology™
GEHCV 11.11.2024

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Recent News
- 02.13.2025 - GE HealthCare Fourth Quarter and Full Year 2024 Earnings Conference Call
- 01.15.2025 - University of California San Francisco and GE HealthCare Launch a Joint Research Program to Drive Innovations in Imaging, Brain Health and Precision Oncology
- 01.14.2025 - 43rd Annual J.P. Morgan Healthcare Conference
Recent Filings
- Collaboration will leverage GE HealthCare’s legacy and scale of imaging innovation and RadNet’s DeepHealth AI-powered clinical and workflow solutions to further the innovation, commercialization, and adoption of AI in imaging.
- Together,
GE HealthCare and RadNet’s DeepHealth aim to create SmartTechnologyTM solutions that harness the power of AI to help redefine radiology workflows and address key challenges across the imaging value chain to improve speed, clinical accuracy, operational efficiency, and elevate patient care. - To demonstrate the promise of this strategic relationship, the collaboration will first work to bring together DeepHealth’s AI-powered SmartMammoTM1solution with GE HealthCare’s patient-centric Senographe PristinaTM mammography system to enhance the way women receive breast care.
- The two companies intend to explore additional areas of collaboration to further expand the access and impact of AI-based workflows in other imaging modalities.
With the global cancer burden continuing to rise,2health systems face increasing challenges and seek solutions to enhance early detection and diagnosis when treatment can be most effective. To help address these challenges and demonstrate the promise of this strategic relationship, the two companies will first work to bring together DeepHealth’s AI-basedSmartMammoTM1workflow and clinical solution and GE HealthCare’s patient-centricSenographe PristinaTMmammography system to bring AI-powered clinical imaging support to breast cancer screening.
GE HealthCare’s Senographe Pristina mammography system was designed to ease anxiety the moment the patient enters the exam room. It features an inviting gantry with elegant lighting and rounded shapes, as well as a soft-curved surface that welcomes patients into a space of comfort and support – with 83% of patients rating their experience with Senographe Pristina better and more comfortable than previous exams.3
RadNet’s DeepHealth SmartMammo is an AI-powered SaaS solution designed to seamlessly integrate into existing breast cancer diagnostic workflows, enhancing diagnostic accuracy4and workflow efficiency. By embedding imaging informatics into advanced mammography systems, the solution can support high-volume breast cancer screening programs. The SmartMammo offering will work to prioritize cases based on suspicion level and ensure seamless integration and interoperability with existing healthcare IT infrastructure.
SmartMammo includes: 1) a cloud-native smart enterprise image viewer with PACS functionality that enables fast image loading and real-time data rendering of multimodality images, accessible from any workstation and location, 2) integration with the radiologist worklist and reporting tools to streamline the workflow, and 3) a suite of clinical AI detection tools that offers automatic lesion localization and degree of suspicion that are effective in diverse populations and dense breast tissue.1, 4The cloud-native architecture of the DeepHealth OS powering SmartMammo simplifies support and maintenance while allowing for seamless feature updates and functionality enhancements without any downtime.
Through this collaboration, the two companies also seek to include Smart Alerts, a DeepHealth workflow solution to be integrated with Senographe Pristina that will utilize rapid AI processing with the goal of alerting imaging sites to cases with potentially suspicious lesions in minutes. This kind of solution aims to empower same-day diagnostic exams, follow-up compliance, and reduced anxiety for women with potentially suspicious findings.
"We are thrilled to collaborate with
“GE HealthCare has a legacy of imaging and AI innovation and is committed to our continued pursuit of new technologies that push the boundaries of what is possible to enable precision care. This new collaboration with DeepHealth harnesses our combined strengths to address critical challenges in healthcare today,” explained
The two companies’ agreement will enable
In addition to collaborating on SmartMammo,
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Forward-looking statements are neither historical facts nor assurances of future performance. Because forward-looking statements relate to the future, they are inherently subject to uncertainties, risks and changes in circumstances that are difficult to predict and many of which are outside of our control. Our actual results and financial condition may differ materially from those indicated in the forward-looking statements. Therefore, you should not place undue reliance on any of these forward-looking statements.
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1 | Components of SmartMammo are 510(k) pending for use with |
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3 | Data on file, |
4 | Kim et al. Impact of a Categorical AI System for Digital Breast Tomosynthesis on Breast Cancer Interpretation by |
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