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RadNet's DeepHealth Subsidiary Expands FDA Clearance for SmartMammo Solution

RadNet's DeepHealth Subsidiary Expands FDA Clearance for SmartMammo Solution

radnet的DeepHealth子公司扩展了智能乳腺摄影解决方案的FDA批准。
GlobeNewswire ·  11/29 19:00
  • SmartMammo's AI algorithm now FDA cleared with GE HealthCare's Senographe Pristina, expanding access to enhanced cancer detection.
  • SmartMammo的人工智能算法现在已获得FDA批准,能够与GE HealthCare的Senographe Pristina配合使用,从而扩大癌症检测的可及性。
  • The clearance enables RadNet's DeepHealth and GE HealthCare collaboration to bring together the SmartMammo and Senographe Pristina solutions and transform breast cancer diagnosis.
  • 此项批准使RadNet的DeepHealth与GE HealthCare的合作得以结合SmartMammo和Senographe Pristina解决方案,改进乳腺癌诊断。

SOMERVILLE, Mass., Nov. 29, 2024 (GLOBE NEWSWIRE) -- DeepHealth, Inc., a wholly-owned subsidiary of RadNet, Inc. (NASDAQ: RDNT) and a global leader in AI-powered health informatics, has received expanded FDA 510(k) clearance for its innovative mammography software. SmartMammo Dx, the AI algorithm within SmartMammo1, is now FDA-cleared to be compatible with GE HealthCare's Senographe Pristina mammography systems. SmartMammo Dx was first cleared in May 2012 in conjunction with HOLOGIC mammography systems, where its performance has also been tested and cleared in patients with unilateral breasts and with breast implants. This newly expanded clearance advances DeepHealth's mission to enhance and expand breast cancer screening programs by broadening system compatibility.

马萨诸塞州索默维尔,2024年11月29日(环球新闻)-- DeepHealth, Inc.,作为RadNet, Inc.(纳斯达克:RDNT)的全资子公司,并在全球范围内处于人工智能赋能的健康信息学领域的领导位置,已获得扩大的FDA 510(k)批准,用于其创新的乳腺X光软件。SmartMammo Dx是SmartMammo1中的人工智能算法,现在已获得FDA批准,能够兼容GE HealthCare的Senographe Pristina乳腺X光系统。SmartMammo Dx于2012年5月首次获得批准,与豪洛捷乳腺X光系统联合使用,并已在单侧乳房患者和有乳腺植入物的患者中进行测试并通过。此次新的扩展批准推进了DeepHealth增强和扩大乳腺癌筛查项目的使命,扩大了系统的兼容性。

"This FDA clearance allows us to expand access to high-quality breast cancer screening to more patients," said Kees Wesdorp, President and CEO of RadNet's Digital Health segment. "By bringing SmartMammo's improved cancer detection to GE HealthCare's mammography systems, more providers can 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."

“这项FDA批准使我们能够为更多患者扩大高质量乳腺癌筛查的可及性,”RadNet的互联网医疗部门总裁兼首席执行官Kees Wesdorp表示。“通过将SmartMammo改进的癌症检测技术引入GE HealthCare的乳腺X光系统,更多的提供者可以利用人工智能的力量,帮助重新定义放射学工作流程,并解决成像价值链中的关键挑战,提高速度、临床准确性、运营效率,并提升患者护理。”

SmartMammo Dx is a key component of DeepHealth's comprehensive SmartMammo1 solution, delivering advanced AI-driven tools that empower radiologists to interpret digital breast tomosynthesis (DBT) mammograms with greater precision. The software identifies suspicious soft tissue lesions and calcifications and assigns finding-specific and case-specific suspicion levels with increased diagnostic accuracy.

SmartMammo Dx是DeepHealth全面SmartMammo1解决方案的关键元件,提供先进的人工智能驱动工具,帮助放射科医生以更高的精确度解读数字乳腺断层摄影(DBT)乳房X光图像。该软件识别可疑的软组织病变和钙化,并为发现特定及病例特定的可疑水平提供更高的诊断准确性。

DeepHealth's FDA-cleared breast cancer diagnostic technologies have already supported millions of exams over the last two years with HOLOGIC mammography systems through the Enhanced Breast Cancer Detection (EBCD) program at RadNet. The expanded FDA clearance with GE HealthCare's Senographe Pristina should further accelerate the adoption of AI-powered breast cancer screening at RadNet and with other providers.

DeepHealth的FDA认证乳腺癌诊断技术在过去两年中通过豪洛捷的乳腺X光检查系统和radnet的增强型乳腺癌检测(EBCD)计划支持了数百万次检查。与GE HealthCare的Senographe Pristina的FDA扩展认证将进一步加速人工智能驱动的乳腺癌筛查在radnet及其他提供者的采用。

The FDA clearance underscores DeepHealth and GE HealthCare's shared commitment to advancing patient-centric, interoperable, and scalable imaging solutions. The two companies aim to set new standards in AI-powered breast imaging to help radiologists deliver better care faster.

FDA的认证强调了DeepHealth和GE HealthCare在推进以患者为中心、互操作且可扩展的影像解决方案方面的共同承诺。这两家公司旨在设定人工智能驱动乳腺影像的新标准,以帮助放射科医生更快地提供更好的护理。

For more information about SmartMammo Dx and its impact on breast cancer screening, visit deephealth.com

有关SmartMammo Dx及其对乳腺癌筛查影响的更多信息,请访问deephealth.com

1 SmartMammo comprises multiple components, including SmartMammo Dx (also known as Saige DX), SmartMammo Density, DeepHealth Viewer, and SmartMammo Assure. DeepHealth Viewer is Manufactured by eRAD and Distributed by DeepHealth. Any claims made about SmartMammo may reference claims associated with its individual components.

1 SmartMammo包括多个元件,包括SmartMammo Dx(也称为Saige DX)、SmartMammo密度、DeepHealth查看器和SmartMammo Assure。DeepHealth查看器由eRAD制造并由DeepHealth分发。关于SmartMammo的任何声明可能会引用与其各个元件相关的声明。

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. 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 .

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, GE HealthCare, Hologic 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的安全港条款所定义的“前瞻性陈述”。前瞻性陈述,包括关于radnet、GE健康医疗、豪洛捷和DeepHealth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陈述,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控件、事件和趋势的当前信念、期望和假设。前瞻性陈述通常可以通过以下词语识别:"预期"、"意图"、"计划"、"目标"、"寻求"、"相信"、"预测"、"估计"、"期待"、"策略"、"未来"、"可能"、"可以"、"应该"、"将"以及类似对未来时期的参考。

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:

如需媒体咨询,请联系:

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


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