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In this lecture, Brad Genereaux of Nvidia discussed how interoperability of healthcare AI can be driven at a worldwide scale, and what technology infrastructure and tools are needed. He discusses the technical and human aspects of inter-system communications within a healthcare system, including the need for standardization of computational frameworks to enable the interoperability of AI solutions in the healthcare setting. He highlights the international IHE project, which is a coordinated effort between healthcare professionals and industry to optimize the way that health information systems and AI tools can communicate with one another more effectively to enable the work of healthcare providers. Using medical imaging as a use case, Mr. Genereaux emphasizes the need for AI interoperability in imaging, including coordination of multiple tasks in the imaging workflow and adoption of AI tools at a worldwide scale.