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

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DeepHealth, a subsidiary of RadNet, Inc., partners with HOPPR to develop AI models for cancer detection. This collaboration focuses on creating a Medical-Grade Generalized Foundational Model and Fine-Tuned models for breast, prostate, and lung cancer. The partnership aims to accelerate the development of AI solutions in radiology and health informatics. By combining HOPPR’s infrastructure with DeepHealth’s clinical expertise, the partnership seeks to enhance diagnostic accuracy, speed up image analysis, and improve patient care outcomes. DeepHealth’s cloud-native operating system integrates AI technology to streamline radiology workflows and enhance diagnostic imaging. Together, they aim to transform healthcare informatics and improve clinical care efficiency and quality.

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