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DeepHealth and TeraRecon partner to enhance AI-driven radiology workflows

by Gus Iversen, Editor in Chief | March 06, 2025
Artificial Intelligence Business Affairs
RadNet at RSNA 2024 (courtesy: RadNet)
DeepHealth, a wholly-owned subsidiary of RadNet, and ConcertAI’s TeraRecon have announced a strategic collaboration aimed at integrating AI-powered diagnostic tools with advanced visualization technology.

The partnership will incorporate TeraRecon’s cloud-based imaging solutions into DeepHealth’s operating system, creating a unified AI-enabled workspace for radiologists.

The collaboration will also integrate DeepHealth’s clinical AI solutions into TeraRecon’s AI ecosystem, enhancing diagnostic imaging capabilities. Jeff Elton, CEO of ConcertAI, described the partnership as a "two-way collaboration" that will optimize radiology workflows and improve diagnostic efficiency.
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As imaging volumes continue to increase, radiologists face mounting pressure to maintain accuracy while managing workloads. AI-driven tools are playing an increasingly important role in streamlining workflows and improving precision. DeepHealth OS, a cloud-native platform, is designed to provide scalable and interoperable AI-powered workspaces for radiology teams. By integrating TeraRecon’s advanced visualization technology, the platform aims to help radiologists make faster, more informed decisions.

Kees Wesdorp, president and CEO of RadNet’s Digital Health division, emphasized the significance of the partnership, stating that it "equips radiologists with the tools to improve efficiency and reduce variability." The collaboration also includes plans to incorporate DeepHealth’s AI-powered cancer screening tools into TeraRecon’s ecosystem, broadening access to AI-driven imaging solutions.

Both companies intend to explore additional opportunities for integrating AI and automation into medical imaging.

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