Global Digital and Intelligent Medical Imaging Ecosystem Development in the AGI Era
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As artificial intelligence continues to reshape healthcare, medical imaging is evolving from an experience-driven service model toward a digital and intelligent ecosystem powered by data, AI, and integrated platforms. With the development of medical imaging foundation models, multimodal large models, and AI Agents, AI is expanding beyond lesion detection and assisted diagnosis into data governance, image analysis, structured reporting, quality control, clinical collaboration, and research.
This White Paper examines how AI is reshaping the medical imaging ecosystem in the AGI era, explores representative clinical applications, and provides perspectives on the future development and international expansion of digital and intelligent medical imaging ecosystems.
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Evolution and key stakeholders of the medical imaging ecosystem
Overview of medical imaging technologies, key stakeholders, service workflows, industry pain points, and ecosystem development.
How AI, foundation models, and AI Agents are transforming medical imaging workflows
Evolution of healthcare AI toward the AGI era, the role of foundation models and AI Agents, clinical value of AI, AI Medical Imaging 3.0 development requirements, and future evolution toward AI Medical Imaging 4.0.
Clinical applications of AI across brain, chest, knee, and other imaging scenarios
Analysis of AI applications in brain, chest, knee, and other specialty imaging scenarios, together with representative clinical practices and use cases.
Development trends and future pathways of the digital and intelligent medical imaging ecosystem
Analysis of collaboration among medical imaging service providers, equipment suppliers, AI solution providers, healthcare IT infrastructure providers, and other ecosystem participants, as well as international expansion pathways.
International expansion opportunities and representative ecosystem models
Case studies of RIMAG + Medical Image Insights, RadNet + Gleamer, and I-MED + Harrison.ai
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ABOUT THE ANALYST
Chenyang Zhang
Email: [email protected]

