RadNet's DeepHealth Subsidiary Expands FDA Clearance for SmartMammo Solution
RadNet's DeepHealth Subsidiary Expands FDA Clearance for SmartMammo Solution
- SmartMammo's AI algorithm now FDA cleared with GE HealthCare's Senographe Pristina, expanding access to enhanced cancer detection.
- SmartMammo的人工智能算法現在已獲得FDA批准,能夠與GE HealthCare的Senographe Pristina配合使用,從而擴大癌症檢測的可及性。
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The clearance enables RadNet's DeepHealth and GE HealthCare collaboration to bring together the SmartMammo and Senographe Pristina solutions and transform breast cancer diagnosis.
- 此項批准使RadNet的DeepHealth與GE HealthCare的合作得以結合SmartMammo和Senographe Pristina解決方案,改進乳腺癌診斷。
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.
馬薩諸塞州索默維爾,2024年11月29日(環球新聞)-- DeepHealth, Inc.,作爲RadNet, Inc.(納斯達克:RDNT)的全資子公司,並在全球範圍內處於人工智能賦能的健康信息學領域的領導位置,已獲得擴大的FDA 510(k)批准,用於其創新的乳腺X光軟件。SmartMammo Dx是SmartMammo1中的人工智能算法,現在已獲得FDA批准,能夠兼容GE HealthCare的Senographe Pristina乳腺X光系統。SmartMammo Dx於2012年5月首次獲得批准,與豪洛捷乳腺X光系統聯合使用,並已在單側乳房患者和有乳腺植入物的患者中進行測試並通過。此次新的擴展批准推進了DeepHealth增強和擴大乳腺癌篩查項目的使命,擴大了系統的兼容性。
"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."
「這項FDA批准使我們能夠爲更多患者擴大高質量乳腺癌篩查的可及性,」RadNet的互聯網醫療部門總裁兼首席執行官Kees Wesdorp表示。「通過將SmartMammo改進的癌症檢測技術引入GE HealthCare的乳腺X光系統,更多的提供者可以利用人工智能的力量,幫助重新定義放射學工作流程,並解決成像價值鏈中的關鍵挑戰,提高速度、臨床準確性、運營效率,並提升患者護理。」
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解決方案的關鍵元件,提供先進的人工智能驅動工具,幫助放射科醫生以更高的精確度解讀數字乳腺斷層攝影(DBT)乳房X光圖像。該軟件識別可疑的軟組織病變和鈣化,併爲發現特定及病例特定的可疑水平提供更高的診斷準確性。
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認證乳腺癌診斷技術在過去兩年中通過豪洛捷的乳腺X光檢查系統和radnet的增強型乳腺癌檢測(EBCD)計劃支持了數百萬次檢查。與GE HealthCare的Senographe Pristina的FDA擴展認證將進一步加速人工智能驅動的乳腺癌篩查在radnet及其他提供者的採用。
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的認證強調了DeepHealth和GE HealthCare在推進以患者爲中心、互操作且可擴展的影像解決方案方面的共同承諾。這兩家公司旨在設定人工智能驅動乳腺影像的新標準,以幫助放射科醫生更快地提供更好的護理。
For more information about SmartMammo Dx and its impact on breast cancer screening, visit deephealth.com
有關SmartMammo Dx及其對乳腺癌篩查影響的更多信息,請訪問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包括多個元件,包括SmartMammo Dx(也稱爲Saige DX)、SmartMammo密度、DeepHealth查看器和SmartMammo Assure。DeepHealth查看器由eRAD製造並由DeepHealth分發。關於SmartMammo的任何聲明可能會引用與其各個元件相關的聲明。
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 .
關於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.
前瞻性聲明
本新聞稿包含根據1995年美國私人證券訴訟改革法的安全港條款所定義的「前瞻性陳述」。前瞻性陳述,包括關於radnet、GE健康醫療、豪洛捷和DeepHealth信息學、硬件和軟件產品組合的能力,以及合作對放射學實踐和醫療工作流程的影響的陳述,表達了我們對業務未來、未來計劃和策略、預測以及預期的未來控件、事件和趨勢的當前信念、期望和假設。前瞻性陳述通常可以通過以下詞語識別:"預期"、"意圖"、"計劃"、"目標"、"尋求"、"相信"、"預測"、"估計"、"期待"、"策略"、"未來"、"可能"、"可以"、"應該"、"將"以及類似對未來時期的參考。
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.
展望性聲明既非歷史事實,也非未來業績保證。由於展望性聲明涉及未來,它們固有地受到難以預測的不確定因素、風險和環境變化的影響,其中許多不在我們的控制範圍之內。我們的實際結果和財務狀況可能與展望性聲明中所示有實質性差異。因此,請不要過度依賴這些展望性聲明。
For media inquiries, reach out to:
如需媒體諮詢,請聯繫:
DeepHealth
Andra Axente
Communications Director
Phone: +31 614 440971
Email: andra.axente@deephealth.com
DeepHealth
安德拉·阿克先特
通信-半導體主任
電話:+31 614 440971
電子郵件: andra.axente@deephealth.com
RadNet, Inc.
Mark Stolper
Executive Vice President and Chief Financial Officer
310-445-2800
RadNet,Inc.
Mark Stolper
執行副總裁兼首席財務官
310-445-2800