DeepHealth, Inc., a global leader in AI-powered health informatics and a wholly owned subsidiary of RadNet, Inc. and ConcertAI’s TeraRecon, a leader in medical imaging advanced visualization, clinical AI, and workflow automation, announced a strategic collaboration to integrate certain capabilities to advance imaging tools and the radiology workflow. This collaboration is first designed to create a seamless 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,” said Jeff Elton, PhD, CEO of ConcertAI. “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.
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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,” said Kees Wesdorp, PhD, President and CEO of RadNet’s Digital Health division. “Partnering with TeraRecon allows us to integrate industry-leading 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.”
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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.
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Source – GlobeNewswire
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