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News & Events

Explore our latest news, insights, and events.

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™

December 1, 2024 – 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.

RadNet’s Wholly-Owned Subsidiary, DeepHealth, to Use CARPL.ai’s Platform to Develop a New AI Control System for Clinical AI Performance and Safety

RadNet’s Wholly-Owned Subsidiary, DeepHealth, to Use CARPL.ai’s Platform to Develop a New AI Control System for Clinical AI Performance and Safety

Los Angeles, CA/Somerville, MA, December 1, 2024 – 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 with CARPL.ai, a leading AI orchestration company that enables radiologists to access, assess, and integrate radiology AI solutions in their workflows.

RadNet’s DeepHealth Subsidiary Expands FDA Clearance for SmartMammo™ Solution

RadNet’s DeepHealth Subsidiary Expands FDA Clearance for SmartMammo™ Solution

Somerville, MA, November 29, 2024 – DeepHealth, Inc., a wholly-owned subsidiary of RadNet, Inc. (NASDAQ: RDNT) and a global leader in AI-powered health informatics, has received expanded FDA 510(k) clearance for its innovative mammography software. SmartMammo Dx, the AI algorithm within SmartMammo1, is now FDA-cleared to be compatible with GE HealthCare’s Senographe Pristina™ mammography systems.

RSNA 2024

RSNA 2024

December 1-4, 2024
Booth no. 1340, South Hall, Level 3, Chicago, USA
Discover how our AI-powered informatics and Smart Technology™ empower you to deliver better care and improved outcomes.
European Society of Thoracic Imaging (ESTI) Winter Course

European Society of Thoracic Imaging (ESTI) Winter Course

December 12-14, 2024
Tromsø, Norway
Join DeepHealth at ESTI’s traditional Winter Course in thoracic radiology. The course covers topics for those needing a solid introduction to the field as well as the experienced thoracic radiologist. Topics include AI in thoracic imaging, and you won’t want to miss our exhibit as well as a sponsored symposium, AI for Lung Module Detection: Insights and results from 3 years of clinical usage of Veye lung nodules at Hospital Cochin.
GE HealthCare and RadNet Forge Collaboration to Transform Imaging Systems and Accelerate the Adoption of Artificial Intelligence (AI) with SmartTechnology™

GE HealthCare and RadNet Forge Collaboration to Transform Imaging Systems and Accelerate the Adoption of Artificial Intelligence (AI) with SmartTechnology™

November 11, 2024: Today, GE HealthCare (Nasdaq: GEHC) and DeepHealth, Inc., a global leader in AI-powered health informatics and a wholly-owned subsidiary of RadNet, Inc. (Nasdaq: RDNT), announced a strategic collaboration to further the innovation, commercialization, and adoption of AI in imaging.

RadNet’s DeepHealth, Inc. Signs First Customer Commitment to Deploy a Suite of Solutions Powered by DeepHealth OS

RadNet’s DeepHealth, Inc. Signs First Customer Commitment to Deploy a Suite of Solutions Powered by DeepHealth OS

LOS ANGELES, California, November 7, 2024 – RadNet, Inc. (NASDAQ: RDNT), a national leader in providing high-quality, cost-effective diagnostic imaging services through a network of owned and operated outpatient imaging centers, announced today that ONRAD, Inc. (“ONRAD”), a national full-service radiology provider has selected RadNet’s DeepHealth OS to advance its next generation of radiology services.

European Congress of Radiology (ECR)

European Congress of Radiology (ECR)

February 26 - March 1, 2025
Vienna, Austria - Booth 507, X5
Join us at ECR, internationally recognized as one of the largest and most influential gatherings in the field of radiology. As the second-largest radiological meeting globally, the ECR attracts a diverse audience of radiology professionals, radiographers, physicists, industry representatives, and members of the press, both medical and consumer-focused.
The Royal College of Radiologists (RCR) Global AI Conference

The Royal College of Radiologists (RCR) Global AI Conference

February 3-4, 2025
London, UK
DeepHealth is thrilled to exhibit at The NHS and the RCR’s inaugural Global AI Conference in 2025. The conference will cover a diverse range of clinical specialties and showcase the future of AI in healthcare featuring talks by global AI leaders and inspirational keynote speakers. Join us as we address the key opportunities and challenges, as well as showcase DeepHealth’s innovative approaches.
ViVE

ViVE

February 16-19, 2025
Nashville, Tennessee - Booth 1108
Join DeepHealth at ViVE, which merges the leadership of CHIME and the marketplace of HLTH to create a digital health event focused on the business of transformation in healthcare - bringing together C-suite executives, senior digital health leaders and buyers, health startups and investors, policymakers, the patient community, and solution providers.
Healthcare Information and Management Systems Society (HIMSS)

Healthcare Information and Management Systems Society (HIMSS)

March 3-6, 2025
Las Vegas, Nevada
Come by MP10230 (Venetian Level 1) to learn about our product portfolio showcased against the backdrop of HIMSS, the conference and exhibition committed to reforming the global health ecosystem through the power of information and technology.
AI is transforming cancer detection – what’s next?

AI is transforming cancer detection – what’s next?

Artificial intelligence (AI) is transforming the fight against cancer by enabling faster and more accurate cancer detection. DeepHealth, a global leader in AI-powered health informatics, is pioneering new ways to advance cancer screening and broader imaging-based care, harnessing AI in an integrated, end-to-end approach to radically improve healthcare delivery.

Deephealth Expands Its AI-Powered Cancer Diagnostic and Screening Portfolio with the Acquisition of Kheiron

Deephealth Expands Its AI-Powered Cancer Diagnostic and Screening Portfolio with the Acquisition of Kheiron

DeepHealth has acquired Kheiron Medical Technologies Limited, a UK-based AI cancer diagnostic company focused on developing deep learning solutions to support radiologists improve breast cancer detection. Kheiron’s Mia®​​​​ (Mammography Intelligent Assessment) suite of AI solutions for breast cancer screening is a strong fit with DeepHealth’s portfolio roadmap aimed at large-scale diagnostic and screening programs leveraging AI-powered health informatics solutions.
RadNet, Inc. Announces the Appointment of Kees Wesdorp as President and Chief Executive Officer of RadNet’s Digital Health Division

RadNet, Inc. Announces the Appointment of Kees Wesdorp as President and Chief Executive Officer of RadNet’s Digital Health Division

Los Angeles, Calif., September 12, 2024 — RadNet, Inc. (NASDAQ: RDNT), a national leader in providing high-quality, cost-effective diagnostic imaging services through a network of fully-owned and operated outpatient imaging centers and digital health solutions, announced today the appointment of Kees Wesdorp as President and Chief Executive Officer of RadNet’s Digital Health division and a member of the RadNet executive management team.

Radnet’s DeepHealth and HOPPR forge partnership to advance AI in healthcare

Radnet’s DeepHealth and HOPPR forge partnership to advance AI in healthcare

HOPPR’s Medical-Grade Generalized Foundation Model enhances medical research and hypotheses while simplifying and lowering costs for data collection and training. AI Foundational Models are versatile, pre-trained architectures that serve as a starting point for customizing specific tasks through Fine-Tuned models, for which expertise in a particular domain is critical.