DeepHealth, a RadNet Subsidiary, Receives FDA Clearance for Remote Scanning Solution, TechLive™

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20 hours ago

TechLive™ is a vendor-agnostic integrated solution enabling remote scanning of MR, CT, PET/CT, and Ultrasound procedures
Amidst radiology technologist shortages, remote scanning in a command center configuration enables the workforce to scan at multiple locations simultaneously with a high level of expertise
RadNet has connected more than 300 MR, CT, PET/CT, and Ultrasound systems with TechLive™, delivering operational efficiency and increased access to advanced procedures
LOS ANGELES and SOMERVILLE, Mass., Aug. 07, 2025 (GLOBE NEWSWIRE) -- DeepHealth, Inc., a wholly-owned subsidiary of RadNet, Inc. (NASDAQ: RDNT) and global leader in AI-powered health informatics, announced today that it has received FDA 510(k) clearance for TechLive™ - a remote scanning solution enabling centralized operation and supervision of MR, CT, PET/CT, and Ultrasound procedures. Amidst tech labor shortages and inflationary wage pressure, TechLive™ empowers technologists to scan for multiple locations, enables improved operational efficiency, extends center operating hours, and enhances access to complex procedures. More than 300 of RadNet's MR, CT, PET/CT, and Ultrasound systems are now connected with DeepHealth's TechLive™ solution, resulting in increased patient throughput and improved quality through remotely matching expert staff with complex modalities in real-time.
Over the past decade, radiology workloads have steadily increased, while the number of qualified technologists have not grown proportionally. In a pilot deployment at 64 locations inside of RadNet's New York area facilities, TechLive™ significantly contributed to a 42% decrease in MRI room closure hours during the second quarter of 2025 as compared with the same period in 2024, allowing more patients to receive timely scans. Additionally, as a result of the remote expert involvement during the same pilot deployment, TechLive™ contributed to an increase in complex procedures. Furthermore, in extending remote scanning capabilities to Ultrasound, TechLive™ is enabling experienced senior sonographers and physicians to remotely guide technologists on-site through complex cases in a modality that is heavily dependent upon real-time, operator expertise.
"TechLive™ represents a paradigm shift in how we approach imaging operations," said Sham Sokka, PhD, Chief Operating and Technology Officer at DeepHealth. "By enabling real-time remote expertise, we are not only addressing today's staffing challenges, we are creating a foundation for more efficient, financially sustainable, and high-quality patient care across the broadest set of imaging modalities. This FDA clearance validates DeepHealth's vision of a connected imaging ecosystem that scales human expertise beyond physical boundaries."
About DeepHealthDeepHealth 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 (e.g., eRAD Radiology Information and Image Management Systems and Picture Archiving and Communication System, Aidence lung AI, DeepHealth, Kheiron, and iCAD breast AI, Quantib prostate and brain AI, and See-Mode thyroid and breast 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/
About RadNet, Inc.RadNet, Inc. is a 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 401 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 contracted radiologists, and inclusive of full-time and per diem employees and technologists, RadNet has a total of over 11,000 employees. For more information, visit http://www.radnet.com.
DeepHealth ContactAndra AxenteDirector of [e-mail]
RadNet, Inc. ContactMark StolperExecutive Vice President and Chief Financial Officer310-445-2800
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This communication contains certain 'forward-looking statements' within the meaning of the safe harbor provisions of the U.S. Private Securities Litigation Reform Act of 1995, Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended. Forward-looking statements can be identified by words such as: 'anticipate,' 'believe,' 'could,' 'estimate,' 'expect,' 'forecast,' 'intend,' 'may,' 'outlook,' 'plan,' 'potential,' 'possible,' 'predict,' 'project,' 'seek, 'should,' 'target,' 'will' or 'would,' the negative of these words, and similar references to future periods. Examples of forward-looking statements include statements regarding the streamlining of delivery and deployment across healthcare facilities, and TechLive creating a foundation for more efficient, financially sustainable and high-quality patient care across the broadest set of imaging modalities, and are qualified by the inherent risks and uncertainties surrounding future expectations generally, all of which are subject to change. Actual results could differ materially from those currently anticipated due to a number of risks and uncertainties, many of which are beyond RadNet's control.
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