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Siemens Healthineers and DeepHealth, a RadNet subsidiary (NASDAQ: RDNT), announced a strategic collaboration to enhance ultrasound operations through AI-powered SmartTechnology™. The partnership combines Siemens’ Acuson Sequoia ultrasound system with DeepHealth’s SmartSonography™ solution to address workforce shortages and operational challenges. The technology includes a remote-acquisition platform for real-time scanning and monitoring, plus a cloud-native enterprise viewer for improved diagnostic accuracy. The collaboration aims to reduce scan time, decrease operator variability, and enable better patient care through standardized protocols and enhanced imaging capabilities.
Siemens Healthineers e DeepHealth, una sussidiaria di RadNet (NASDAQ: RDNT), hanno annunciato una collaborazione strategica per migliorare le operazioni di ecografia attraverso la tecnologia AI SmartTechnology™. Il partenariato combina il sistema ecografico Acuson Sequoia di Siemens con la soluzione SmartSonography™ di DeepHealth per affrontare le carenze di personale e le sfide operative. La tecnologia include una piattaforma di acquisizione remota per scansioni e monitoraggi in tempo reale, oltre a un visualizzatore cloud-native per una maggiore accuratezza diagnostica. La collaborazione mira a ridurre i tempi di scansione, diminuire la variabilità degli operatori e fornire una migliore assistenza ai pazienti attraverso protocolli standardizzati e capacità di imaging migliorate.
Siemens Healthineers y DeepHealth, una subsidiaria de RadNet (NASDAQ: RDNT), anunciaron una colaboración estratégica para mejorar las operaciones de ultrasonido a través de la tecnología impulsada por IA SmartTechnology™. La asociación combina el sistema de ultrasonido Acuson Sequoia de Siemens con la solución SmartSonography™ de DeepHealth para abordar la escasez de mano de obra y los desafíos operativos. La tecnología incluye una plataforma de adquisición remota para escaneo y monitoreo en tiempo real, además de un visor empresarial nativo en la nube para una mayor precisión diagnóstica. La colaboración tiene como objetivo reducir el tiempo de escaneo, disminuir la variabilidad del operador y permitir una mejor atención al paciente a través de protocolos estandarizados y capacidades de imagen mejoradas.
지멘스 헬시니어스와 딥헬스, 라드넷의 자회사(NASDAQ: RDNT)는 AI 기반의 스마트테크놀로지™를 통해 초음파 운영을 향상시키기 위한 전략적 협력관계를 발표했습니다. 이번 파트너십은 지멘스의 아큐손 세쿼이아 초음파 시스템과 딥헬스의 스마트초음파™ 솔루션을 결합하여 인력 부족과 운영상의 문제를 해결합니다. 이 기술은 실시간 스캔 및 모니터링을 위한 원격 획득 플랫폼과 향상된 진단 정확성을 위한 클라우드 기반 기업 뷰어를 포함합니다. 협업의 목표는 스캔 시간을 줄이고, 운영자의 변동성을 감소시키며, 표준화된 프로토콜과 향상된 이미징 기능을 통해 더 나은 환자 관리를 가능하게 하는 것입니다.
Siemens Healthineers et DeepHealth, une filiale de RadNet (NASDAQ: RDNT), ont annoncé une collaboration stratégique pour améliorer les opérations d’échographie grâce à la technologie alimentée par IA SmartTechnology™. Ce partenariat combine le système d’échographie Acuson Sequoia de Siemens avec la solution SmartSonography™ de DeepHealth pour faire face aux pénuries de main-d’œuvre et aux défis opérationnels. La technologie comprend une plateforme d’acquisition à distance pour un scan et un suivi en temps réel, ainsi qu’un visualiseur d’entreprise natif dans le cloud pour une meilleure précision diagnostique. Cette collaboration vise à réduire le temps de scan, diminuer la variabilité des opérateurs et permettre un meilleur soin des patients grâce à des protocoles standardisés et des capacités d’imagerie améliorées.
Siemens Healthineers und DeepHealth, eine Tochtergesellschaft von RadNet (NASDAQ: RDNT), haben eine strategische Zusammenarbeit angekündigt, um die Ultraschalloperationen durch KI-gestützte SmartTechnology™ zu verbessern. Die Partnerschaft kombiniert das Ultraschallsystem Acuson Sequoia von Siemens mit der Lösung SmartSonography™ von DeepHealth, um Arbeitskräftemangel und betriebliche Herausforderungen anzugehen. Die Technologie umfasst eine Remote-Akquisitionsplattform für Echtzeitscans und -überwachung sowie einen cloud-basierten Unternehmensviewer zur Verbesserung der diagnostischen Genauigkeit. Ziel der Zusammenarbeit ist es, die Scanzeit zu reduzieren, die Variabilität der Bediener zu verringern und eine bessere Patientenversorgung durch standardisierte Protokolle und verbesserte Bildgebungsfähigkeiten zu ermöglichen.
Positive
- Implementation of AI technology could improve operational efficiency and reduce unnecessary rescans
- Remote collaboration capabilities enable resource optimization across multiple locations
- Cloud-native technology implementation may enhance diagnostic accuracy and accessibility
Insights
This strategic collaboration between Siemens Healthineers and DeepHealth represents a significant technological advancement in ultrasound diagnostics. The integration of AI-powered SmartTechnology™ with Acuson Sequoia addresses critical industry challenges including workforce shortages and diagnostic variability. The remote command center capability and cloud-native enterprise viewer mark a paradigm shift in ultrasound operations.
The new AI Abdomen feature in Acuson Sequoia 3.5, which automatically labels and measures organs in milliseconds, demonstrates tangible progress in automation and standardization. This technological merger could create substantial operational efficiencies and cost savings through reduced recall rates and improved diagnostic accuracy. For RadNet, this partnership strengthens their competitive position in the diagnostic imaging market and could drive revenue growth through improved service delivery and expanded market reach.
This partnership positions RadNet strategically in the rapidly growing AI healthcare market. The collaboration addresses a $9 billion global ultrasound market while targeting operational inefficiencies in diagnostic imaging. By combining RadNet’s high-volume outpatient expertise with Siemens’ hardware capabilities, the company is creating barriers to entry and establishing a competitive moat in AI-enabled imaging services.
The remote collaboration feature could significantly expand RadNet’s geographical reach without proportional cost increases, potentially improving margins. For investors, this represents a clear path to value creation through technological differentiation and operational optimization. The partnership with an industry leader like Siemens Healthineers validates RadNet’s AI capabilities and could lead to additional enterprise partnerships.
- 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™.
- 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.
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.
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.
“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.”
“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.”
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.
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.
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.
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.
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 www.siemens-healthineers.com.
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 http://www.radnet.com.
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. https://deephealth.com/
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.
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.
For media inquiries, reach out to:
Siemens Healthineers
Bailey Allen
Media Relations Manager
Phone: +1 610.545.9327
Email: bailey.allen@siemens-healthineers.com
DeepHealth
Andra Axente
Communications Director
Phone: +31 614 440971
Email: andra.axente@deephealth.com
RadNet, Inc.
Mark Stolper
Executive Vice President and Chief Financial Officer
310-445-2800
FAQ
What is the purpose of the Siemens Healthineers and RadNet’s DeepHealth collaboration for RDNT?
The collaboration aims to transform ultrasound operations by implementing AI-powered SmartTechnology™, combining Siemens’ Acuson Sequoia with DeepHealth’s SmartSonography™ to improve operational efficiency and patient care.
What are the key features of SmartSonography™ announced in the RDNT collaboration?
SmartSonography™ includes a remote-acquisition platform for real-time scanning and monitoring, and a cloud-native enterprise viewer for improved image access and diagnostic accuracy.
When will the Siemens-DeepHealth (RDNT) technology demonstration take place?
The live demonstration will be held on Tuesday, December 3, 2024, from 10:00 AM to 10:30 AM CT at Booth #2529, South Hall, Level 3 at RSNA 2024 in Chicago.
