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MinFound Medical Systems

MinFound Cloud Solution

MinFound has developed an advanced, multi-tier remote collaboration system anchored in the DICOM 3.0 international standard. By leveraging state-of-the-art imaging technology and integrating it with the Internet and healthcare services, MinFound has established a comprehensive smart medical big data platform. This platform is designed to empower an increasing number of medical institutions, supporting the new healthcare reform goals of ensuring patients can receive care for serious conditions within their county and manage minor illnesses without leaving their community. 

Utilizing the mCloud and artificial intelligence (AI) platforms, MinFound aims to create a conduit between medical institutions and top-tier medical services. This initiative promotes the concept of "Cloud sharing, cloud diagnosis, cloud services," embodying the essence of telemedicine. Looking ahead, the platform plans to incorporate AI-driven diagnostics, early detection of serious illnesses, lifelong health management, and support for medical and healthcare decision-making. This will be achieved by harnessing the power of medical imaging big data, shifting the healthcare paradigm from reactive treatment to proactive prevention.

Through these efforts, MinFound seeks to significantly enhance the overall capabilities of medical institutions. By fostering collaboration within the medical community and supporting tiered diagnosis and treatment strategies, the platform aims to bolster the regional medical institutions' authority. This comprehensive approach intends to revolutionize healthcare delivery, ensuring more accessible, accurate, and preventive medical services for all.


Cloud Diagnosis

    Famous radiologists' diagnosis through remote image diagnosis solution, improving primary hospital diagnosis ability.

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MinFound mCloud


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Cloud Storage, Area Control, Data Sharing, Data Services, Big Data Mining, Intelligent Assistance, Electronic Film, Image Transmission, Remote Cloud Consultation/Diagnosis