Siemens Healthineers and RadNet's Wholly-Owned Subsidiary, DeepHealth, to Collaborate Around Elevating Ultrasound Workflows With AI-Powered SmartTechnology
Siemens Healthineers and RadNet's Wholly-Owned Subsidiary, DeepHealth, to Collaborate Around Elevating Ultrasound Workflows With AI-Powered SmartTechnology
- Siemens Healthineers and DeepHealth have signed a letter of intent to create AI-powered SmartTechnology to improve patient experience and operational efficiency in ultrasound.
- The collaboration aims to facilitate remote operations, collaboration, and enhanced interpretation capabilities for increased diagnostic accuracy and consistency by combining Siemens Healthineers' Acuson Sequoia with RadNet's DeepHealth SmartSonography.
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A live demonstration of the technology will be held Tuesday, December 3, 10:00 AM – 10:30 AM CT at Booth #2529, South Hall, Level 3 at RSNA 2024, Chicago, IL.
- 西门子医疗与DeepHealth签署了一份意向书,旨在创建人工智能驱动的智能科技,以改善超声设备中的患者体验和运营效率。
- 该合作旨在通过将西门子医疗的Acuson Sequoia与radnet的DeepHealth SmartSonography结合起来,促进远程操作、协作和增强的解读能力,从而提高诊断的准确性和一致性。
- 技术的现场演示将于2024年12月3日星期二上午10:00至10:30在伊利诺伊州芝加哥RSNA 2024的南大厅3楼2529号展位举行。
LOS ANGELES and SOMERVILLE, Mass., Dec. 01, 2024 (GLOBE NEWSWIRE) -- Siemens Healthineers and DeepHealth, Inc., a global leader in AI-powered health informatics and a wholly-owned subsidiary of RadNet, Inc. (Nasdaq: RDNT), today announced a strategic collaboration aimed at transforming ultrasound operations through the implementation of SmartTechnology by embedding AI-powered health informatics within workflows and imaging hardware. The collaboration will combine Siemens Healthineers' Acuson Sequoia ultrasound system, RadNet's expertise in high-volume outpatient care, and DeepHealth's SmartSonography solution powered by the cloud-native DeepHealth OS to tackle workflow and workforce challenges for enhanced operational efficiency and better patient experience.
洛杉矶和马萨诸塞州森维尔,2024年12月1日(环球新闻)——西门子医疗与DeepHealth, Inc.达成战略合作,旨在通过嵌入人工智能驱动的健康信息系统于工作流程和成像硬件中, transform ultrasound 运营。该合作将结合西门子医疗的Acuson Sequoia超声系统、radnet在高成交量门诊护理方面的专业知识,以及DeepHealth基于云原生DeepHealth OS的SmartSonography解决方案,以应对工作流程和劳动力挑战,提高运营效率并改善患者体验。
High-volume ultrasound care settings face significant challenges, including workforce shortages, operator limitations and fatigue, and variability in image acquisition quality—factors that can impede timely and accurate diagnoses while contributing to unnecessary examinations. To tackle these challenges, a remote collaboration and image acquisition command center will enable experienced technologists to oversee image acquisition across multiple locations. In addition, enhanced enterprise viewer capabilities are intended to enable radiologists to review video capture of exams alongside standard ultrasound static images for a more comprehensive assessment, potentially improving diagnostic accuracy and reducing unnecessary rescans. This approach could significantly enhance access to higher-quality care and reduce patient recall rates.
高成交量超声护理环境面临重大挑战,包括劳动力短缺、运营商的局限性和疲劳,以及影像获取质量的差异——这些因素可能会妨碍及时和准确的诊断,并增加不必要的检查。为了解决这些挑战,一个远程协作和图像采集指挥中心将使经验丰富的技术人员能够监督多个地点的图像采集。此外,增强的企业查看器功能旨在使放射科医生能够将检查视频捕获与标准超声静态图像进行比较,以进行更全面的评估,可能提高诊断的准确性并减少不必要的重检。这种方法可能显著提高高质量护理的获取,并减少患者的回访率。
"Ultrasound has long been plagued with challenges related to lack of standardization and variability among users, and this is only compounded with the global workforce shortage," said Ajay Gannerkote, global head of ultrasound for Siemens Healthineers. "Siemens Healthineers focuses on practical AI, to make ultrasound smarter, faster, easier and more accessible. By collaborating with DeepHealth we can develop smarter ultrasound solutions that help improve productivity and access to high-quality imaging for more people."
“超声波长期以来一直受到缺乏标准化和用户之间变异性相关挑战的困扰,而这一问题在全球劳动力短缺的背景下变得更加严重,”西门子医疗超声全球负责人Ajay Gannerkote表示。“西门子医疗专注于实用的人工智能,使超声波更智能、更快速、更简单且更易获得。通过与DeepHealth的合作,我们可以开发更智能的超声波解决方案,帮助提高生产力,并让更多人能够获得高质量的成像。”
"We are excited to collaborate with Siemens Healthineers to redefine the landscape of ultrasound diagnostics through SmartTechnology," said Kees Wesdorp, President and CEO of RadNet's Digital Health segment. "By integrating our AI-powered SmartSonography solution with Siemens Healthineers' industry-leading ultrasound systems, we aim to enhance operational efficiency and empower healthcare professionals to deliver more accurate and timely patient care. This collaboration exemplifies our commitment to leveraging advanced technology to empower breakthroughs in care through imaging for both providers and patients."
“我们很高兴能与西门子医疗合作,通过智能科技重新定义超声诊断的格局,”radnet互联网医疗部门的总裁兼首席执行官Kees Wesdorp表示。“通过将我们的人工智能驱动的SmartSonography解决方案与西门子医疗业界领先的超声系统整合,我们旨在提高运营效率,赋能医疗专业人员提供更准确和及时的患者护理。这一合作体现了我们利用先进科技推动影像护理突破的承诺,服务于提供者和患者。”
SmartSonography is designed to include: 1) a remote-acquisition platform that will enable real-time scanning, assistance, training, monitoring, and protocol standardization across an imaging fleet from a single interface, intending to facilitate seamless collaboration and resource scaling in complex healthcare environments, efficient patient management and enhanced clinical confidence; 2) a cloud-native enterprise viewer accessible from anywhere that will combine essential Picture Archive and Communication Systems (PACS) functionality with cloud-native technology for fast image streaming and seamless access to data with the aim to increase diagnostic accuracy and consistency.
SmartSonography的设计包括:1) 一个远程采集平台,能够实现实时扫描、援助、培训、监测和协议标准化,允许通过单一接口管理成像设备,旨在促进复杂医疗环境中的无缝协作和资源扩展、高效的患者管理和增强的临床信心;2) 一个云原生的企业查看器,可以从任何地方访问,将必要的图像存档和通信系统(PACS)功能与云原生技术相结合,实现快速图像流和无缝数据访问,旨在提高诊断准确性和一致性。
Siemens Healthineers harnesses AI to make ultrasound exams faster, smarter and more accessible to healthcare settings worldwide, including underserved areas. Siemens Healthineers has recently refreshed its Ultrasound portfolio and has a fleet of systems that are designed with AI and future development in mind. The company is focused on cardiology, including leadership in interventional cardiology, and adiology/general imaging with unique offerings for liver, breast, vascular and MSK. On December 1, 2024, the Acuson Sequoia 3.5 was introduced with a first-of-its-kind AI Abdomen feature that automatically labels and measures organs in milliseconds to improve standardization, and brings new capabilities in breast and MSK imaging.
西门子医疗利用人工智能使超声检查在全球医疗环境中更快速、更智能且更易获得,包括服务不足的地区。西门子医疗最近更新了其超声产品组合,拥有一系列考虑到人工智能和未来发展的系统。该公司专注于心脏病学,包括在介入心脏病学方面的领导地位,以及放射学/一般成像,提供独特的肝脏、乳腺、血管和肌肉骨骼成像产品。2024年12月1日,推出了Acuson Sequoia 3.5,该设备配备了首款人工智能腹部特征,可以在毫秒内自动标记和测量器官,以改善标准化,并在乳腺和肌肉骨骼成像中带来新功能。
Together, Siemens Healthineers and DeepHealth are committed to exploring next-generation ultrasound solutions that would enhance the diagnostic process, dramatically reduce scan time and operator-dependant variability, and enable better patient care.
西门子医疗与DeepHealth共同致力于探索下一代超声波解决方案,以增强诊断过程,显著缩短扫描时间并减少操作依赖的变异性,从而提高患者护理。
For more information, visit the Siemens Healthineers (#2529) and DeepHealth (#1340) booths at the Radiological Society of North America 2024 Annual Meeting, which will be held between 1 and 5 December in Chicago, U.S.A. A live demonstration of the technology will be held Tuesday, December 3, 10AM – 10:30AM CT at Booth #2529, South Hall, Level 3.
欲了解更多信息,请访问西门子医疗 (#2529) 和DeepHealth (#1340) 在北美放射学会2024年年会上展位,该会议将于12月1日至5日在美国芝加哥举行。技术的现场演示将于12月3日星期二上午10:00至10:30在南厅3层的展位#2529进行。
About Siemens Healthineers
Siemens Healthineers pioneers breakthroughs in healthcare. For everyone. Everywhere. Sustainably. The company is a global provider of healthcare equipment, solutions and services, with activities in more than 180 countries and direct representation in more than 70. The group comprises Siemens Healthineers AG, listed as SHL in Frankfurt, Germany, and its subsidiaries. As a leading medical technology company, Siemens Healthineers is committed to improving access to healthcare for underserved communities worldwide and is striving to overcome the most threatening diseases. The company is principally active in the areas of imaging, diagnostics, cancer care and minimally invasive therapies, augmented by digital technology and artificial intelligence. In fiscal 2024, which ended on September 30, 2024, Siemens Healthineers had approximately 72,000 employees worldwide and generated revenue of around €22.4 billion. Further information is available at .
关于西门子医疗
西门子医疗在医疗领域开创了突破性进展。面向所有人。在任何地方。可持续发展。该公司是全球医疗设备、解决方案和服务提供商,在180多个国家开展业务,并在70多个国家直接代表。该集团由在德国法兰克福上市的西门子医疗(证券代码SHL)及其子公司组成。作为一家领先的医疗科技公司,西门子医疗致力于改善全球弱势群体的医疗服务获取,并努力克服最具威胁性的疾病。该公司主要在成像、诊断、癌症护理和微创治疗等领域活跃,同时辅以数字科技和人工智能。到2024财年结束时(2024年9月30日),西门子医疗在全球大约有72,000名员工,营业收入约为224亿欧元。更多信息请访问。
About 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 399 owned and/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 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. For more information, visit .
关于radnet公司。
radnet, Inc. 是美国最大的独立、固定地点诊断影像服务提供商,基于其位置数量和年度影像营业收入。radnet 拥有 399 个自有和/或经营的门诊影像中心。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。此外,radnet 提供放射学信息技术和人工智能解决方案,品牌名为 DeepHealth,远程放射专业服务以及其他相关产品和服务,面向诊断影像行业的客户。与关联放射科医生一起,包括全职和按需雇员及技术人员,radnet 的总员工超过 10,000 人。有关更多信息,请访问。
About 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. 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's human-centered, intuitive technology aims to push the boundaries of what's possible in healthcare.
About 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. 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's human-centered, intuitive technology aims to push the boundaries of what's possible in healthcare.
Forward Looking Statement
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, Siemens Healthineers, 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. 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.
前瞻性声明
本新闻稿包含根据1995年美国私人证券诉讼改革法案的安全港条款所定义的“前瞻性声明”。前瞻性声明,包括有关radnet、思爱普健康科技和DeepHealth的信息、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,表达了我们对业务未来、未来计划和策略、预测以及预期的未来条件、事件和趋势的当前信念、期望和假设。一般来说,前瞻性声明可以通过以下词语识别:"预期"、"打算"、"计划"、"目标"、"寻求"、"相信"、"预测"、"估计"、"期望"、"策略"、"未来"、"可能"、"可以"、"应该"、"将"及对未来时段的类似参考。
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.
展望性声明既非历史事实,也非未来业绩保证。由于展望性声明涉及未来,它们固有地受到难以预测的不确定因素、风险和环境变化的影响,其中许多不在我们的控制范围之内。我们的实际结果和财务状况可能与展望性声明中所示有实质性差异。因此,请不要过度依赖这些展望性声明。
For media inquiries, reach out to:
Siemens Healthineers
Bailey Allen
Media Relations Manager
Phone: +1 610.545.9327
Email: bailey.allen@siemens-healthineers.com
如需媒体咨询,请联系:
西门子医疗保健有限公司
贝利·阿伦
媒体关系经理
电话: +1 610.545.9327
电子邮件: bailey.allen@siemens-healthineers.com
DeepHealth
Andra Axente
Communications Director
Phone: +31 614 440971
Email: andra.axente@deephealth.com
DeepHealth
安德拉·阿克先特
通信-半导体主任
电话:+31 614 440971
电子邮件: andra.axente@deephealth.com
RadNet, Inc.
Mark Stolper
Executive Vice President and Chief Financial Officer
310-445-2800
RadNet,Inc.
Mark Stolper
执行副总裁兼首席财务官
310-445-2800