Intel is helping medical imaging innovation with AI edge computing

     During the 2023 China International Medical Device Fair, Intel held a forum with the theme of "AI Edge computing Enabling Medical imaging to help grassroots medical innovation and upgrading". At the forum, professionals from Intel, industry associations and leading enterprises in the medical field had an in-depth discussion on how to help grassroots medical informatization construction through the integration of medical AI and cloud edge, and improve the efficiency of medical services and medical staff work experience and other important issues.

     Currently, health data accounts for 30% of the world's total data volume. How to effectively manage and utilize large amounts of unstructured health data has become a huge challenge. In this regard, Guo Wei, general manager of the iot and Channel Data Center Business Division of Intel China, said, "Intel is integrating medical AI and cloud edge in an innovative way, accelerating scientific innovation while enabling smart medicine, so as to realize effective management and utilization of medical data. In addition, in order to facilitate the informatization construction of primary medical care, Intel also actively joins hands with industry partners to create numerous high-performance solutions for diverse application scenarios based on Al edge computing technology, so as to break the digital island in the hospital, optimize the allocation of primary medical resources and accelerate the hierarchical diagnosis and treatment process, so as to fully release the value of medical data. To realize the synchronous improvement of the work efficiency of grassroots medical staff and the medical experience of patients."

     Take the medical image scene as an example -- the rapid progress of medical image technology makes more and more clinical diagnosis have "evidence" to rely on. In order to help medical institutions easily face the ever-expanding demand for image data processing, based on Intel architecture, Hui Yi Hui Ying has created a full-cycle AI medical imaging solution including Dr. Turing AI platform, Novacloud Intelligent Image Cloud and Radcloud big data intelligent analysis Cloud platform.

     By introducing leading hardware and software products and technologies such as Intel Xeon scalable processors, the OpenVINO tool suite, and Python optimized for Intel's  architecture, the solution has achieved significant improvements in processing efficiency across all platforms. Thanks to the overall acceleration advantages brought by the mutual collocation and collaborative optimization of these hardware and software, the reasoning speed of Dr. Turing AI platform in image analysis scenarios such as COVID-19 screening and breast cancer detection has been significantly improved. At the same time, with the support of the optimized Radcloud big data intelligent analysis cloud platform, the processing efficiency of the radiomics analysis scheme has also been significantly accelerated.

     Combined with the application of 5G and other innovative technologies, through the combination of online and offline, the solution has been successfully used to help the sinking of high-quality medical resources and improve the popularity of high-quality medical resources, comprehensively improving the ability of grassroots medical services and security, as well as patients' medical experience. For example, by deploying AI bone mineral density computing capability to primary medical institutions in the form of image cloud platform and bone mineral density all-in-one machine, patients can enjoy automatic bone mineral density measurement, vertebral body analysis, intervertebral analysis and physical analysis with only one CT scan, without additional examination and body model assistance. This product can help people, including those living in primary care areas, get tested for osteoporosis more scientifically, more accurately, and more easily, while avoiding the risks associated with the high incidence, disability and mortality of osteoporosis.

     The medical assisted diagnosis system based on cloud deployment and cloud-edge collaboration is taking data as the source of power, taking advantage of the "technical wind" of artificial intelligence and edge computing, accelerating the sharing of medical resources, and participating in the construction of a more intelligent and more inclusive modern medical system. In the future, Intel will work with more ecological partners to promote the extensive practice and deep application of cloud-edge collaborative architecture in the medical field, improve the level of smart medical application, and strive to improve the health and well-being of everyone on the planet!