Siemens Healthineers and RadNet’s Wholly-Owned Subsidiary, DeepHealth, to Collaborate Around Elevating Ultrasound Workflows with AI-Powered SmartTechnology™

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RadNet, Inc.
RadNet, Inc.
  • 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.”