CHICAGO--(BUSINESS WIRE)--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.

芝加哥--（商业新闻短讯）--今天，GE HealthCare（纳斯达克股票代码：GEHC）和DeepHealth，Inc.宣布了一项战略合作，以进一步推动AI在成像领域的创新、商业化和采用。DeepHealth，Inc.是人工智能驱动的健康信息学领域的全球领导者，也是RadNet，Inc.（纳斯达克股票代码：RDNT）的全资子公司。

Together, the two companies aim to develop SmartTechnology™ solutions that harness the transformative power of AI to address key challenges across the imaging value chain, including helping increase the efficiency of imaging interpretation and reporting, enabling collaboration across care teams, improving the clinical interpretation of images, and enhancing operational efficiency and productivity.

两家公司的共同目标是开发SmartTechnology™解决方案，利用人工智能的变革能力来应对整个成像价值链的关键挑战，包括帮助提高成像解释和报告的效率，实现护理团队之间的协作，改进图像的临床解释，提高运营效率和生产力。

These new SmartTechnology solutions will seek to combine GE HealthCare’s imaging expertise and scale, RadNet’s deep experience in care delivery, and DeepHealth’s AI-powered health informatics portfolio to elevate patient care through improved end-to-end clinical and operational workflows..

这些新的智能技术解决方案将寻求结合GE HealthCare的成像专业知识和规模、RadNet在护理服务方面的丰富经验以及DeepHealth的人工智能健康信息组合，通过改进的端到端临床和运营工作流程来提高患者护理水平。。

With the global cancer burden continuing to rise,2 health 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-based SmartMammo™1 workflow and clinical solution and GE HealthCare’s patient-centric Senographe Pristina™ mammography system to bring AI-powered clinical imaging support to breast cancer screening..

随着全球癌症负担的持续增加，2卫生系统面临着越来越多的挑战，并寻求解决方案，以在治疗最有效的时候加强早期发现和诊断。为了帮助应对这些挑战并展示这种战略关系的前景，两家公司将首先将基于人工智能的DeepHealth SmartMammo™1工作流程和临床解决方案与GE HealthCare以患者为中心的Senographe Pristina™乳腺X线摄影系统结合起来，为乳腺癌筛查提供人工智能支持的临床成像支持。。

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.

GE HealthCare的Senographe Pristina乳房X光检查系统旨在缓解患者进入检查室时的焦虑。它的特点是具有优雅的灯光和圆形的诱人机架，以及柔软的曲面，欢迎患者进入舒适和支撑的空间-83%的患者认为他们使用Senographe Pristina的体验比以前的检查更好，更舒适。

RadNet’s DeepHealth SmartMammo is an AI-powered SaaS solution designed to seamlessly integrate into existing breast cancer diagnostic workflows, enhancing diagnostic accuracy4 and workflow efficiency. By embedding imaging informatics into advanced mammography systems, the solution can support high-volume breast cancer screening programs.

RadNet的DeepHealth SmartMammo是一种人工智能支持的SaaS解决方案，旨在无缝集成到现有的乳腺癌诊断工作流程中，提高诊断准确性4和工作流程效率。通过将成像信息学嵌入先进的乳腺X线照相系统，该解决方案可以支持高容量乳腺癌筛查计划。

The SmartMammo offering will work to prioritize cases based on suspicion level and ensure seamless integration and interoperability with existing healthcare IT infrastructure..

SmartMammo产品将根据怀疑程度对案件进行优先排序，并确保与现有医疗保健IT基础设施的无缝集成和互操作性。。

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, 4 The 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..

SmartMammo包括：1）具有PACS功能的云本机智能企业图像查看器，可实现快速图像加载和多模态图像的实时数据渲染，可从任何工作站和位置访问；2）与放射科医生工作列表和报告工具集成以简化工作流程；3）一套临床AI检测工具，可提供自动病变定位和怀疑程度，对不同人群和密集乳腺组织有效。1、4支持SmartMammo的DeepHealth操作系统的云本机架构简化了支持和维护，同时允许无缝功能更新和功能增强，而无需停机。。

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..

通过这项合作，两家公司还寻求包括智能警报，这是一种深度健康工作流程解决方案，将与Senographe Pristina集成，该解决方案将利用快速人工智能处理，目标是在几分钟内提醒成像站点注意潜在可疑病变的病例。这种解决方案旨在增强当天的诊断检查，随访依从性，并减少有潜在可疑发现的女性的焦虑。。

'We are thrilled to collaborate with GE HealthCare to accelerate the adoption of AI-powered technologies in radiology,' said Kees Wesdorp, President and CEO of RadNet’s Digital Health division. 'By combining our pioneering cloud-native operating system, DeepHealth OS, and our AI-powered health informatics portfolio with GE HealthCare’s cutting-edge imaging technology, we are poised to revolutionize large-scale diagnostic and screening programs, streamline radiology workflows, and improve patient outcomes.

RadNet数字健康部门总裁兼首席执行官基斯·韦斯多普（KeesWesdorp）说，我们很高兴与GE HealthCare合作，加快人工智能技术在放射学中的应用通过将我们开创性的云本机操作系统、DeepHealth操作系统和人工智能支持的健康信息学产品组合与GE HealthCare的尖端成像技术相结合，我们将彻底改变大规模诊断和筛查计划，简化放射学工作流程，并改善患者预后。

This collaboration aims to empower healthcare providers with the tools they need to deliver more effective and personalized care at scale.'.

这种合作旨在为医疗保健提供者提供所需的工具，以大规模提供更有效和个性化的护理。”。

“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 Roland Rott, President & Chief Executive Officer of Imaging for GE HealthCare.

“GE HealthCare拥有成像和人工智能创新的传统，并致力于我们继续追求新技术，以推动实现精准护理的可能性。与DeepHealth的这一新合作利用了我们的综合优势，以应对当今医疗保健领域的关键挑战，”GE HealthCare成像总裁兼首席执行官罗兰·罗特（Roland Rott）解释道。

“As we look to make more personalized, patient-centered breast care a reality – AI continues to show great promise in breast cancer screening from early detection and risk prediction, to reduced callbacks and more efficient workflows for breast imaging providers. We are excited to bring the power of imaging and AI together to elevate personalized breast care for those facing this difficult diagnosis.”.

“随着我们寻求实现更加个性化、以患者为中心的乳房护理，人工智能在乳腺癌筛查方面继续显示出巨大的前景，从早期发现和风险预测，到减少回调，以及为乳房成像提供商提供更有效的工作流程。我们很高兴能够将成像和人工智能的力量结合起来，为那些面临这种困难诊断的人提高个性化乳房护理。”。

The two companies’ agreement will enable GE Healthcare to distribute SmartMammo and other DeepHealth solutions to imaging providers in the United States as part of GE HealthCare’s comprehensive portfolio of imaging technologies.

两家公司的协议将使GE Healthcare能够将SmartMammo和其他DeepHealth解决方案分发给美国的成像提供商，作为GE Healthcare综合成像技术组合的一部分。

In addition to collaborating on SmartMammo, GE HealthCare and RadNet’s DeepHealth intend to explore areas of further collaboration for SmartTechnology solutions in other modalities and clinical domains, to expand the access to and impact of AI-based workflows.

除了在SmartMammo上进行合作外，GE HealthCare和RadNet的DeepHealth还打算在其他模式和临床领域探索智能技术解决方案的进一步合作领域，以扩大对基于人工智能的工作流程的访问和影响。

For more information, visit the GE HealthCare (#7330) and DeepHealth (#1340) booths at the Radiological Society of North America 2024 Annual Meeting.

有关更多信息，请访问北美放射学会2024年年会上的GE HealthCare（#7330）和DeepHealth（#1340）展位。

About GE HealthCare Technologies Inc.

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GE HealthCare is a leading global medical technology, pharmaceutical diagnostics, and digital solutions innovator, dedicated to providing integrated solutions, services, and data analytics to make hospitals more efficient, clinicians more effective, therapies more precise, and patients healthier and happier.

GE HealthCare是全球领先的医疗技术、药物诊断和数字解决方案创新者，致力于提供集成的解决方案、服务和数据分析，使医院更高效、临床医生更有效、治疗更精确，患者更健康、更快乐。

Serving patients and providers for more than 125 years, GE HealthCare is advancing personalized, connected, and compassionate care, while simplifying the patient’s journey across the care pathway. Together our Imaging, Advanced Visualization Solutions, Patient Care Solutions, and Pharmaceutical Diagnostics businesses help improve patient care from diagnosis, to therapy, to monitoring.

GE HealthCare为患者和提供者服务了125多年，正在推进个性化、互联化和富有同情心的护理，同时简化患者跨越护理路径的旅程。我们的成像、高级可视化解决方案、患者护理解决方案和药物诊断业务共同帮助改善从诊断到治疗再到监测的患者护理。

We are a $19.6 billion business with approximately 51,000 colleagues working to create a world where healthcare has no limits. Follow us on LinkedIn, X, Facebook, Instagram, and Insights for the latest news, or visit our website https://www.gehealthcare.com for more information..

我们是一家价值196亿美元的企业，拥有约51000名员工，致力于创造一个医疗保健无限的世界。在LinkedIn、X、Facebook、Instagram和Insights上关注我们的最新消息，或访问我们的网站https://www.gehealthcare.com有关更多信息。。

About RadNet, Inc.

关于RadNet，Inc。

RadNet, Inc. is the leading national provider of freestanding, fixed-site diagnostic imaging services in the United States based on the number of locations and annual imaging revenue. RadNet has a network of 398 owned and/or operated outpatient imaging centers. RadNet’s markets include Arizona, California, Delaware, Florida, Maryland, New Jersey, New York and Texas.

根据地点数量和年度成像收入，RadNet，Inc.是美国独立式固定站点诊断成像服务的领先国家提供商。RadNet拥有398个拥有和/或运营的门诊成像中心。RadNet的市场包括亚利桑那州、加利福尼亚州、特拉华州、佛罗里达州、马里兰州、新泽西州、纽约州和德克萨斯州。

In addition, RadNet provides radiology information technology and artificial intelligence solutions marketed under the DeepHealth brand, teleradiology professional services and other related products and services to customers in the diagnostic imaging industry. Together with affiliated radiologists, and inclusive of full-time and per diem employees and technologists, RadNet has a total of over 10,000 employees.

此外，RadNet还为诊断成像行业的客户提供以DeepHealth品牌销售的放射信息技术和人工智能解决方案、远程放射专业服务以及其他相关产品和服务。与附属放射科医生一起，包括全职和每日津贴员工和技术人员，RadNet共有10000多名员工。

For more information, visit http://www.radnet.com..

For more information, visit http://www.radnet.com..

About DeepHealth

关于DeepHealth

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 aim of empowering breakthroughs in care through imaging. Building on the strengths of the companies it has integrated and is rebranding (i.e., eRAD Radiology Information and Image Management Systems and Picture Archiving and Communication System, Aidence lung AI, DeepHealth and Kheiron breast AI and Quantib prostate and brain AI), DeepHealth leverages advanced AI for operational efficiency and improved clinical outcomes in lung, breast, prostate, and brain health.

DeepHealth是RadNet，Inc.（纳斯达克：RDNT）的全资子公司，是RadNet数字健康领域所有公司的保护伞品牌。DeepHealth提供人工智能支持的健康信息学，旨在通过成像实现护理突破。在整合并正在重塑品牌的公司（即eRAD放射信息和图像管理系统以及图片存档和通信系统、Aidence lung AI、DeepHealth和Kheiron breast AI以及Quantib prostate和brain AI）的优势基础上，DeepHealth利用先进的AI提高运营效率，改善肺、乳腺、前列腺和大脑健康的临床结果。

At the heart of DeepHealth’s portfolio is a cloud-native operating system - DeepHealth OS - that unifies data across the clinical and operational workflow and personalizes AI-powered workspaces for everyone in the radiology continuum. Thousands of radiologists at hundreds of imaging centers and radiology departments around the world use DeepHealth solutions to enable earlier, more reliable, and more efficient disease detection, including in large-scale cancer screening programs.

DeepHealth产品组合的核心是一个云本地操作系统-DeepHealth操作系统-它将临床和操作工作流程中的数据统一起来，并为放射学连续体中的每个人个性化人工智能支持的工作空间。世界各地数百个成像中心和放射科的数千名放射科医生使用DeepHealth解决方案来实现更早，更可靠，更有效的疾病检测，包括大规模的癌症筛查计划。

DeepHealth’s human-centered, intuitive technology aims to push the boundaries of what's possible in healthcare. https://deephealth.com/.

DeepHealth以人为中心的直观技术旨在推动医疗保健领域的发展。https://deephealth.com/.

Forward Looking Statement

前瞻性声明

This press release contains “forward-looking statements” within the meaning of the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995. Forward-looking statements, including statements regarding the capabilities of RadNet, GE Healthcare and DeepHealth’s informatics, hardware and software product portfolios and the collaboration’s impact on radiology practices and healthcare workflow, are expressions of our current beliefs, expectations, and assumptions regarding the future of our business, future plans and strategies, projections, and anticipated future conditions, events and trends.

本新闻稿包含1995年《美国私人证券诉讼改革法案》安全港条款所指的“前瞻性声明”。前瞻性声明，包括关于RadNet、GE Healthcare和DeepHealth的信息学、硬件和软件产品组合的能力以及合作对放射学实践和医疗工作流程的影响的声明，表达了我们目前对未来业务、未来计划和战略、预测以及预期的未来条件、事件和趋势的信念、期望和假设。

Forward-looking statements can generally be identified by words such as: “anticipate,” “intend,” “plan,” “goal,” “seek,” “believe,” “project,” “estimate,” “expect,” “strategy,” “future,” “likely,” “may,” “should,” “will” and similar references to future periods..

前瞻性陈述通常可以通过以下词语来识别：“预期”，“打算”，“计划”，“目标”，“寻求”，“相信”，“项目”，“估计”，“预期”，“战略”，“未来”，“可能”，“可能”，“应该”，“将”以及对未来时期的类似引用。。

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.

前瞻性陈述既不是历史事实，也不是未来表现的保证。由于前瞻性陈述与未来有关，因此它们固有地受到难以预测的不确定性、风险和环境变化的影响，其中许多不在我们的控制范围内。

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..

我们的实际业绩和财务状况可能与前瞻性报表中显示的结果和财务状况存在重大差异。因此，您不应过度依赖这些前瞻性声明。。

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1

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Components of SmartMammo are 510(k) pending for use with GE HealthCare.

SmartMammo的组件510（k）正在等待与GE HealthCare一起使用。

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https://www.who.int/news/item/01-02-2024-global-cancer-burden-growing--amidst-mounting-need-for-services

https://www.who.int/news/item/01-02-2024-global-cancer-burden-growing--amidst-mounting-need-for-services

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Data on file, GE Healthcare. 83% of patient assessed the exam as more comfortable than previous. IPSOS Patient Satisfaction Study sponsored by GE Healthcare, conducted with 315 patients across 2 sites in Europe.

GE Healthcare存档数据。83%的患者认为检查比以前更舒适。由GE Healthcare赞助的益普索患者满意度研究，在欧洲的两个地点对315名患者进行了研究。

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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 Intell. 2024. doi: 10.1148/ryai.230137.

Kim等人。数字乳腺断层合成的分类AI系统对普通放射科医生和乳腺成像专家对乳腺癌解释的影响。放射性人工智能。2024年。doi:10.1148/ryai.230137。