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RadNet, Inc. At ECR 2025, DeepHealth will introduce new AI-powered radiology informatics and cancer screening solutions enabled by DeepHealth OS, its pioneering cloud-native operating system, to address clinical and operational challenges.
DeepHealth aims to bring to European customers its Diagnostic Suite™ to redefine the traditional Picture Archiving and Communication System (PACS) with a unified workspace tailored for modern radiology, and SmartMammo™ , an AI-powered end-to-end diagnostic SaaS solution for mammography, further embedding AI-based detection and diagnosis in interpretive workflows. 1
DeepHealth will also showcase updates to its broader population health portfolio of clinical AI solutions supporting lung, prostate, and brain health.
To extend and scale these solutions, DeepHealth leverages strategic collaborations with leading industry players, such as enterprise imaging solutions provider TeraRecon and AI infrastructure company CARPL.ai.
VIENNA, Feb. 26, 2025 (GLOBE NEWSWIRE) — DeepHealth, Inc., a global leader in AI-powered health informatics and a wholly-owned subsidiary of RadNet, Inc. (Nasdaq: RDNT), will introduce next-generation AI-powered radiology informatics and population screening solutions at the European Congress of Radiology (ECR) 2025 in Vienna. With the aim of empowering breakthroughs in care enabled by imaging, DeepHealth’s suite of solutions addresses critical clinical and operational challenges experienced by healthcare providers around the world. DeepHealth’s solutions are powered by DeepHealth OS, a secure, scalable, and cloud-native operating system that integrates data across various solutions and enables interoperability with broader healthcare IT ecosystems. Moreover, to enable AI adoption at scale, DeepHealth has established strategic collaborations enabling integrated solutions with ecosystem industry leaders.
“At DeepHealth, we are harnessing the transformative power of AI to create cutting-edge solutions that are deeply rooted in real-world clinical needs,” said Kees Wesdorp, PhD, President and CEO of RadNet’s Digital Health division. “We believe that AI adoption at scale in radiology can only be achieved by embedding AI into and unifying data across clinical and operational workflows to empower radiologists and care teams that today are having to rely on disconnected devices and disparate data sources. At ECR 2025, we are excited to showcase our next-generation radiology informatics and population screening solutions designed […]
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