DeepHealth, TeraRecon Join Forces on Advanced Visualization Tech

DeepHealth Inc. and ConcertAI’s TeraRecon have formed a strategic collaboration to advance imaging tools and the radiology workflow. This collaboration is first designed to create a seamless artificial intelligence (AI)-enabled diagnostic experience for radiologists and imaging specialists through integrating TeraRecon’s advanced visualization (AV) technology into DeepHealth OS cloud-native Operating System. Additionally, the collaboration seeks to incorporate DeepHealth’s clinical AI solutions into TeraRecon’s AI ecosystem, enabling physicians to deliver precise and timely diagnostic interpretations.

“ConcertAI will be aligning its TeraRecon Advanced Visualization and Clinical AI solutions with DeepHealth’s AI-enabled operating system to deliver optimized operational and interpretive workflows to radiologists,” ConcertAI CEO Jeff Elton, Ph.D., said. “This two-way collaboration, integrating DeepHealth’s clinical AI technology into the TeraRecon AI ecosystem, can provide more radiologists with essential tools to enhance diagnostic efficiency, enabling better patient care.”

As imaging volumes continue to rise, radiology departments face increasing pressure to manage workload efficiently while maintaining diagnostic accuracy. AI-powered solutions have demonstrated their potential in streamlining workflows and improving precision, making integrated technologies essential for the future of medical imaging.

DeepHealth OS is a secure, scalable, cloud-native platform that personalizes AI-powered workspaces for radiology teams, enabling greater collaboration and efficiency. DeepHealth’s Diagnostic Suite, which harnesses the cloud-native capabilities of DeepHealth OS, delivers seamless workflow integration to meet the evolving demands of radiologists through interoperable, reliable, highly scalable unified diagnostic workspace.

The integration of TeraRecon’s advanced visualization capabilities with DeepHealth’s OS and Diagnostic Suite will enhance diagnostic accuracy and efficiency and streamline radiologists’ workflows by enabling radiologists to make faster, more informed decisions with greater ease.

“At DeepHealth, we are committed to leveraging advanced AI to enhance radiology workflows, elevate the experience of care teams, and improve patient care,” RadNet Digital Health Division President Kees Wesdorp, Ph.D., stated. “Partnering with TeraRecon allows us to integrate visualization and clinical AI technology, equipping radiologists with the tools to improve efficiency and reduce variability. This collaboration strengthens DeepHealth OS, driving innovation in medical imaging.”

Additionally, the two companies are exploring the integration of several of DeepHealth’s AI-powered cancer screening capabilities into TeraRecon’s AI ecosystem, further strengthening TeraRecon’s AI-powered imaging solutions and making these essential screening tools more widely available. These enhancements would contribute to TeraRecon’s comprehensive cloud-based imaging suite, which spans from diagnosis to research, offering end-to-end advanced imaging solutions for a broader range of healthcare providers.

This collaboration marks the beginning of a broader engagement between TeraRecon and DeepHealth, as both companies explore additional areas to integrate AI-driven imaging and workflow automation. By continuing to expand their joint capabilities, they aim to provide radiologists with seamless diagnostic tools that enhance precision, efficiency, and better care delivery.

ConcertAI develops predictive and generative AI SaaS and multi-modal data solutions for healthcare and life sciences. Its mission is to accelerate insights and outcomes for patients through research-ready data, CARAai technologies, and scientific expertise in partnership with more than 46 biomedical innovators, 2,000 healthcare providers, and medical societies. TeraRecon provides advanced radiological image visualizations and clinical AI decision augmentation solutions for MRI and CT. CancerLinQ is an Initiative of ConcertAI, providing oncology providers with ASCO-aligned automated QOPI and ASCO Certified quality solutions and SmartLinQ analytic services. Headquartered in Cambridge, Mass., ConcertAI has offices in Bangalore, Frankfurt, Philadelphia, Raleigh-Durham, and Tokyo.

DeepHealth is a wholly-owned subsidiary of RadNet Inc. 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.

RadNet Inc. provides 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 more than 10,000 employees.