Release date: 2016-12-16

“Do you know that American smart medical care represented by Watson has been widely used. In this respect, China still relies heavily on imports and lacks original innovation and breakthroughs.” Recently, Academician of Chinese Academy of Engineering, First Affiliated Hospital of Zhejiang University, Department of Infectious Diseases Expert Li Lanjuan said at the 2nd Zhejiang International Health Industry Expo.

The Watson Smart System, developed by IBM in the United States in 2007, understands the doctor's natural language, quickly searches millions of medical records, journal files, and medical research, and analyzes massive amounts of unstructured data for patients. Intelligent diagnosis of medical research yields the results users need.

In terms of medical image analysis, Enlitic's cloud-based analysis platform integrates, models, analyzes and visualizes, and doctors can label images to collect irrelevant data and help medical institutions to make disease judgments. Some patients need to be manned for medication, but with real-time imaging of the Aicure system, the smartphone can automatically observe the patient's medication behavior and improve medication compliance.

This also motivates Chinese scientists and technicians to conduct in-depth research and innovation in smart medical research and development. Zheng Shusen, an academician of the Chinese Academy of Engineering and a specialist in hepatobiliary surgery at the First Affiliated Hospital of Zhejiang University, produced a highly efficient robot that improved the accuracy of surgery and reduced trauma.

Academician Li Lanjuan led the research and development of the Huangqi intelligent diagnosis system, which combined a large number of diagnosed jaundice data with the patient's main statement, and the diagnostic compliance rate reached 99%. In the future, we can digitize the knowledge and experience in the minds of well-known experts and doctors, and use intelligent diagnostic systems to improve the level of diagnosis and treatment of grassroots doctors.

Meng Qun, director of the Center for Statistics and Information of the National Health and Family Planning Commission, revealed that the center is leading the creation of a major infectious disease information cloud in 14 provinces in China. Li Lanjuan said that the Zhejiang Digital Medical and Health Technology Research Institute found that the incidence of hepatitis B and tuberculosis infectious diseases decreased significantly by matching more than 40 million data.

Through the analysis of the data of “Healthy Examination for All” in Zhejiang, it was found that since the hepatitis B vaccine was included in the planned immunization management in 1992 and the immunization policy for children was introduced, the rate of hepatitis B infection in people born after 1992 was less than 1.5%. The hepatitis B infection rate is as high as 8% to 10%.

For domestic smart medical research and development, academicians and experts at the site generally believe that there are some challenges.

For example, the integration of various medical devices requires the R&D personnel and medical staff of the equipment to jointly develop some small portable inspection and testing equipment for smart medical use; it needs to pass the hospital patient diagnosis and administrative information system (HIS), image archiving. Integration with various medical health big data such as communication systems (PACS) enables better data mining, cost reduction, efficiency and accuracy, and so on.

In this regard, the academicians and experts and scholars present at the scene issued a "prescription" that China should formulate medium- and long-term plans and strategies for artificial intelligence in the field of medical and health, integrate medical, inspection, health behaviors and medical documents into various health data for intelligent mining and analysis. Break through intelligent perception cognition, knowledge engine and knowledge service, and technical theory of machine learning. At the same time, create intelligent early warning, prediction and intervention systems for diseases, develop robotic doctors, and develop intelligent visualization platforms.

Academician Li Lanjuan believes that the construction of these legal systems requires ethical security guarantees, institutional mechanisms, policy environment optimization, and higher education reforms to train a group of professional and technical personnel in the field of intelligent medical care. He also understands mechanics and also has a combination of mathematics, calculation, analysis and modeling.

Source: Zhongqing Online

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