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.
- 西門子醫療與DeepHealth簽署了一份意向書,旨在創建人工智能驅動的智能科技,以改善超聲設備中的患者體驗和運營效率。
- 該合作旨在通過將西門子醫療的Acuson Sequoia與radnet的DeepHealth SmartSonography結合起來,促進遠程操作、協作和增強的解讀能力,從而提高診斷的準確性和一致性。
- 技術的現場演示將於2024年12月3日星期二上午10:00至10:30在伊利諾伊州芝加哥RSNA 2024的南大廳3樓2529號展位舉行。
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.
洛杉磯和馬薩諸塞州森維爾,2024年12月1日(環球新聞)——西門子醫療與DeepHealth, Inc.達成戰略合作,旨在通過嵌入人工智能驅動的健康信息系統於工作流程和成像硬件中, transform ultrasound 運營。該合作將結合西門子醫療的Acuson Sequoia超聲系統、radnet在高成交量門診護理方面的專業知識,以及DeepHealth基於雲原生DeepHealth OS的SmartSonography解決方案,以應對工作流程和勞動力挑戰,提高運營效率並改善患者體驗。
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.
高成交量超聲護理環境面臨重大挑戰,包括勞動力短缺、運營商的侷限性和疲勞,以及影像獲取質量的差異——這些因素可能會妨礙及時和準確的診斷,並增加不必要的檢查。爲了解決這些挑戰,一個遠程協作和圖像採集指揮中心將使經驗豐富的技術人員能夠監督多個地點的圖像採集。此外,增強的企業查看器功能旨在使放射科醫生能夠將檢查視頻捕獲與標準超聲靜態圖像進行比較,以進行更全面的評估,可能提高診斷的準確性並減少不必要的重檢。這種方法可能顯著提高高質量護理的獲取,並減少患者的回訪率。
"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."
「超聲波長期以來一直受到缺乏標準化和用戶之間變異性相關挑戰的困擾,而這一問題在全球勞動力短缺的背景下變得更加嚴重,」西門子醫療超聲全球負責人Ajay Gannerkote表示。「西門子醫療專注於實用的人工智能,使超聲波更智能、更快速、更簡單且更易獲得。通過與DeepHealth的合作,我們可以開發更智能的超聲波解決方案,幫助提高生產力,並讓更多人能夠獲得高質量的成像。」
"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."
「我們很高興能與西門子醫療合作,通過智能科技重新定義超聲診斷的格局,」radnet互聯網醫療部門的總裁兼首席執行官Kees Wesdorp表示。「通過將我們的人工智能驅動的SmartSonography解決方案與西門子醫療業界領先的超聲系統整合,我們旨在提高運營效率,賦能醫療專業人員提供更準確和及時的患者護理。這一合作體現了我們利用先進科技推動影像護理突破的承諾,服務於提供者和患者。」
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的設計包括:1) 一個遠程採集平台,能夠實現實時掃描、援助、培訓、監測和協議標準化,允許通過單一接口管理成像設備,旨在促進複雜醫療環境中的無縫協作和資源擴展、高效的患者管理和增強的臨床信心;2) 一個雲原生的企業查看器,可以從任何地方訪問,將必要的圖像存檔和通信系統(PACS)功能與雲原生技術相結合,實現快速圖像流和無縫數據訪問,旨在提高診斷準確性和一致性。
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.
西門子醫療利用人工智能使超聲檢查在全球醫療環境中更快速、更智能且更易獲得,包括服務不足的地區。西門子醫療最近更新了其超聲產品組合,擁有一系列考慮到人工智能和未來發展的系統。該公司專注於心髒病學,包括在介入心臟病學方面的領導地位,以及放射學/一般成像,提供獨特的肝臟、乳腺、血管和肌肉骨骼成像產品。2024年12月1日,推出了Acuson Sequoia 3.5,該設備配備了首款人工智能腹部特徵,可以在毫秒內自動標記和測量器官,以改善標準化,並在乳腺和肌肉骨骼成像中帶來新功能。
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.
西門子醫療與DeepHealth共同致力於探索下一代超聲波解決方案,以增強診斷過程,顯著縮短掃描時間並減少操作依賴的變異性,從而提高患者護理。
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,請訪問西門子醫療 (#2529) 和DeepHealth (#1340) 在北美放射學會2024年年會上展位,該會議將於12月1日至5日在美國芝加哥舉行。技術的現場演示將於12月3日星期二上午10:00至10:30在南廳3層的展位#2529進行。
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 .
關於西門子醫療
西門子醫療在醫療領域開創了突破性進展。面向所有人。在任何地方。可持續發展。該公司是全球醫療設備、解決方案和服務提供商,在180多個國家開展業務,並在70多個國家直接代表。該集團由在德國法蘭克福上市的西門子醫療(證券代碼SHL)及其子公司組成。作爲一家領先的醫療科技公司,西門子醫療致力於改善全球弱勢群體的醫療服務獲取,並努力克服最具威脅性的疾病。該公司主要在成像、診斷、癌症護理和微創治療等領域活躍,同時輔以數字科技和人工智能。到2024財年結束時(2024年9月30日),西門子醫療在全球大約有72,000名員工,營業收入約爲224億歐元。更多信息請訪問。
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. 是美國最大的獨立、固定地點診斷影像服務提供商,基於其位置數量和年度影像營業收入。radnet 擁有 399 個自有和/或經營的門診影像中心。radnet 的市場包括亞利桑那州、加利福尼亞州、特拉華州、佛羅里達州、馬里蘭州、新澤西州、紐約州和德克薩斯州。此外,radnet 提供放射學信息技術和人工智能解決方案,品牌名爲 DeepHealth,遠程放射專業服務以及其他相關產品和服務,面向診斷影像行業的客戶。與關聯放射科醫生一起,包括全職和按需僱員及技術人員,radnet 的總員工超過 10,000 人。有關更多信息,請訪問。
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.
前瞻性聲明
本新聞稿包含根據1995年美國私人證券訴訟改革法案的安全港條款所定義的「前瞻性聲明」。前瞻性聲明,包括有關radnet、思愛普健康科技和DeepHealth的信息、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聲明,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條件、事件和趨勢的當前信念、期望和假設。一般來說,前瞻性聲明可以通過以下詞語識別:"預期"、"打算"、"計劃"、"目標"、"尋求"、"相信"、"預測"、"估計"、"期望"、"策略"、"未來"、"可能"、"可以"、"應該"、"將"及對未來時段的類似參考。
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:
Siemens Healthineers
Bailey Allen
Media Relations Manager
Phone: +1 610.545.9327
Email: bailey.allen@siemens-healthineers.com
如需媒體諮詢,請聯繫:
西門子醫療保健有限公司
貝利·阿倫
媒體關係經理
電話: +1 610.545.9327
電子郵件: 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