With the theme of “Great Integration, Great Futureâ€, the 10th Annual Meeting of Chinese Hospital Presidents was held in Xiamen. Intel (China) Co., Ltd. was invited as a long-term promoter of the development of the medical and health field to participate in the event. In the "big integration, big synergy, big platform" sub-forum, Intel shared with the guests the new trends and new practices in the integration of cutting-edge technology and medical industry ; and together with industry partners announced the establishment of "Joint Innovation Lab", aiming to condense The strength of the industry has promoted the advancement of medical cloud, big data, artificial intelligence and other technologies in the medical and health fields.
At present, technologies such as big data, cloud computing, and Internet of Things have rapidly penetrated into clinical services, redefining the management and operation of hospitals. At the same time, cutting-edge technologies such as artificial intelligence are also bringing new opportunities for the development of the medical industry. The traditional hospital management and service model is facing a change. During the meeting, Intel and 18 member units announced the establishment of the "Joint Innovation Lab". The laboratory brings together various forces including medical institutions, scientific research institutions, technology companies and research service companies to promote technology pilot and scientific research, accelerate industry development routes and standards development, and accelerate big data, medical clouds, artificial intelligence, etc. Technology has landed in the field of big health.
Kong Dexing, a professor at Zhejiang University and chairman of the Zhejiang Institute of Mathematical Medicine, shared the application of artificial intelligence technology in the screening, intervention and treatment of thyroid diseases. "Based on the Intel Xeon platform, we improved and optimized the algorithm based on the characteristics of thyroid ultrasound image data, and used the large sample obtained to train the computer. The joint diagnosis with the First Affiliated Hospital of Zhejiang University, the diagnosis is accurate. The rate can reach more than 85%. We expect that this application can be expanded to more fields in the future."
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