The partnership leverages GE HealthCare's tradition and scale of imaging innovation and RadNet's DeepHealth AI-powered clinical and workflow solutions to accelerate innovation, commercialization, and adoption of AI in imaging technology. GE HealthCare and RadNet's DeepHealth have jointly discovered that the power of AI is redefining radiology workflows and addressing key challenges across the imaging value chain to improve speed, clinical accuracy, and operational efficiency to improve patient outcomes. Helps improve care. To demonstrate the promise of this strategic relationship, the partnership will initially include: DeepHealth's AI-powered SmartMammo™ 1 solution combines with GE HealthCare's patient-centered Senographe Pristina™ mammography system to enhance the way women receive breast care. The companies plan to explore further areas of collaboration to further expand the access and impact of AI-based workflows in other imaging modalities.
LOS ANGELES, Nov. 11, 2024 (Globe Newswire) — Today, GE Healthcare (Nasdaq: GEHC), a global leader in AI-powered health informatics and a wholly owned subsidiary of RadNet, Inc. DeepHealth, Inc. (Nasdaq: RDNT) announced a strategic partnership to accelerate innovation, commercialization, and adoption of AI in imaging. Together, the companies will leverage the transformative power of AI to address key challenges across the imaging value chain, including helping improve image interpretation and reporting efficiency, enabling collaboration across medical teams, and improving clinical interpretation. We aim to develop SmartTechnology™ solutions. Improve operational efficiency and productivity. These new SmartTechnology solutions combine GE HealthCare's imaging expertise and scale, RadNet's deep care delivery experience, and DeepHealth's AI-powered health informatics portfolio to improve end-to-end clinical and operational workflows. We aim to improve patient care through improvement.
As the global burden of cancer continues to rise, 2 health systems are facing increasing challenges and seeking solutions to enhance early detection and diagnosis when treatment is most effective. . To address these challenges and demonstrate the promise of this strategic relationship, the companies will first integrate DeepHealth's AI-based SmartMammo™ 1 workflow and clinical solution with GE HealthCare's patient-centric Senographe Pristina™ mammography system. and will work on adding features that utilize AI. Clinical imaging support for breast cancer screening.
GE HealthCare's Senographe Pristina mammography system was designed to alleviate anxiety from the moment patients enter the exam room. Featuring an attractive gantry with elegant lighting and rounded shapes, and soft curved surfaces that welcome patients into a space of comfort and support, 83% of patients find the Senographe Pristina experience better and more comfortable than their previous exam. It is evaluated that it is. 3
RadNet's DeepHealth SmartMammo is an AI-powered SaaS solution designed to seamlessly integrate into existing breast cancer diagnostic workflows and improve diagnostic accuracy4 and workflow efficiency. This solution can support high-volume breast cancer screening programs by incorporating image informatics into advanced mammography systems. SmartMammo products prioritize cases based on level of suspicion 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 that can be accessed from any workstation or location. It will be. 2) Integration with radiologist worklist and reporting tools to streamline radiologist work. workflow, and 3) a suite of clinical AI detection tools that provides effective automatic lesion localization and level of suspicion for diverse populations and dense breast tissue. 1,4 The cloud-native architecture of the DeepHealth OS that powers SmartMammo simplifies support and maintenance and enables seamless feature updates and enhancements without downtime.
Through this partnership, the companies also aim to incorporate Smart Alerts, a DeepHealth workflow solution that will be integrated with Senographe Pristina. Smart Alerts leverages rapid AI processing to alert imaging sites to cases with potentially suspicious lesions. This type of solution is aimed at increasing compliance with same-day diagnostic testing, follow-up, and reducing anxiety for women with potentially suspicious findings.
Kees Wesdorp, President and CEO of RadNet's Digital Health Division, said: “By combining our pioneering cloud-native operating system, DeepHealth OS, and AI-powered medical informatics portfolio with GE HealthCare's cutting-edge imaging technology, we are revolutionizing large-scale diagnostic and screening programs and delivering We are ready to streamline departmental workflows and improve care. This collaboration will give healthcare providers the tools they need to deliver more effective, personalized care at scale. The purpose is
“GE Healthcare has a tradition of imaging and AI innovation and is committed to continually pursuing new technologies that push the boundaries of what is possible to enable precision treatments. is leveraging our collective strengths to address the critical challenges in today's healthcare,” explained Roland Rott, President and CEO of Imaging, GE HealthCare. “AI holds great promise in breast cancer screening, from early detection and risk prediction to reduced callbacks and more efficient workflows for breast imaging providers, as we strive to achieve more personalized and patient-centered breast care.” We are excited to combine the power of image processing and AI to improve personalized breast care for people facing this difficult diagnosis.”
The companies' agreement will enable GE Healthcare to distribute SmartMammo and other DeepHealth solutions to imaging providers in the United States as part of a comprehensive portfolio of imaging technologies.
In addition to collaboration on SmartMammo, GE HealthCare and RadNet's DeepHealth plan to explore further areas of collaboration for SmartTechnology solutions in other modalities and clinical domains to expand access to and impact of AI-based workflows. .
For more information, visit the GE HealthCare (#7330) and DeepHealth (#1340) booths at the Radiological Society of North America 2024 Annual Meeting.
About GE Healthcare Technologies, Inc.
GE Healthcare is a world-leading medical technology, pharmaceutical diagnostics, and digital solutions innovator dedicated to providing integrated solutions, services, and data analytics to improve hospital efficiency, improve clinician effectiveness, and improve care. Increase accuracy and make your patients healthier and happier. Serving patients and healthcare providers for more than 125 years, GE Healthcare promotes personalized, connected and compassionate care while simplifying patient movement throughout the care pathway. Our imaging, advanced visualization solutions, patient care solutions and pharmaceutical diagnostics businesses work together to improve patient care from diagnosis to treatment and monitoring. We are a $19.6 billion company with approximately 51,000 colleagues working to build a world without limits in health care. For the latest news, follow us on LinkedIn, X, Facebook, Instagram, and Insights. For more information, please visit our website https://www.gehealthcare.com.
About Radnet Co., Ltd.
RadNet, Inc. is a leading national provider of independent fixed-site diagnostic imaging services in the United States based on number of locations and annual imaging revenue. RadNet has a network of 398 owned or operated outpatient imaging centers. RadNet's markets include Arizona, California, Delaware, Florida, Maryland, New Jersey, New York, and Texas. In addition, RadNet provides radiology information technology and artificial intelligence solutions, teleradiology specialty services, and other related products and services sold under the DeepHealth brand to customers in the diagnostic imaging industry. Including full-time and per diem employees and technicians, along with associated radiologists, RadNet has a total of more than 10,000 employees. For more information, please visit http://www.radnet.com.
About deep health
DeepHealth is a wholly owned subsidiary of RadNet, Inc. (NASDAQ: RDNT) and serves as the umbrella brand for all companies within RadNet's Digital Health segment. DeepHealth provides AI-powered health informatics with the goal of driving breakthrough advances in treatment through imaging. DeepHealth leverages the strengths of the companies it is integrating and rebranding, including eRAD Radiology Information and Image Management System, Image Archive and Communication System, Aidence Lung AI, DeepHealth and Kheiron Breast AI, and Quantib Prostate and Brain AI. We utilize advanced technology. AI increases operational efficiency and improves clinical outcomes in lung, breast, prostate, and brain health. At the heart of DeepHealth's portfolio is DeepHealth OS, a cloud-native operating system. It integrates data across clinical and operational workflows and personalizes an AI-powered workspace for all radiology continuum participants. Thousands of radiologists in hundreds of imaging centers and radiology departments around the world use DeepHealth solutions to improve early, reliable, and efficient cancer screening programs, including large-scale cancer screening programs. It makes it possible to detect diseases. DeepHealth's human-centered, intuitive technology aims to push the boundaries of what is possible in healthcare. https://deephealth.com/
Forward-looking statements
This press release contains “forward-looking statements” within the meaning of the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. Forward-looking statements include statements regarding RadNet, GE Healthcare, and DeepHealth's informatics, hardware, and DeepHealth capabilities. Our portfolio of software products and the impact of our collaboration on radiology practices and medical workflows may affect the future of our business, our future plans and strategies, our projections, our current beliefs and expectations regarding anticipated future conditions, events and trends; It expresses an assumption. Forward-looking statements typically include words such as “anticipates,” “intends,” “plans,” “goals,” “seeks,” “believes,” “plans,” “estimates,” “expects,” “strategy,” “future,” “likely,” “may,” “should,” “will” and similar references to future periods.
Forward-looking statements are neither historical facts nor guarantees 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 beyond our control. Our actual results of operations and financial condition may differ materially from those expressed in the forward-looking statements. Therefore, you should not place undue reliance on these forward-looking statements.
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GE Healthcare
Emily Niles
WHXR Global Communications Leader
Email: emily.niles@gehealthcare.com
deep health
Andorra Accente
communication director
Phone: +31 614 440971
Email: andra.axente@deephealth.com
Radnet Co., Ltd.
Mark Stolper
Executive Vice President and Chief Financial Officer
310-445-2800
1 510(k) pending use at GE HealthCare.
2 https://www.who.int/news/item/01-02-2024-global-cancer-burden-growing–amidst-mounting-need-for-services
3 Data on file, GE Healthcare. 83% of patients rated the test as more comfortable than before. The IPSOS Patient Satisfaction Survey was sponsored by GE Healthcare and was conducted among 315 patients at two sites in Europe.
4 Kim et al. Impact of a categorical AI system for digital breast tomosynthesis on breast cancer interpretation by both general radiologists and breast imaging specialists. Radiol Artif Inter. 2024. doi: 10.1148/ryai.230137.
