IBM Watson wants more raw data innovation to reach smart healthcare

"Do you know that American smart medical care represented by Watson has been widely used? They are not affected by external emotional factors, and can be free from local restrictions, and can meet professional requirements and standardized control. In this respect, China still relies heavily on it. Imports and lack of original innovation and breakthroughs."

Recently, Li Lanjuan, an academician of the Chinese Academy of Engineering and an infectious disease expert at the First Affiliated Hospital of Zhejiang University, told the domestic medical community at the 2nd Zhejiang International Health Industry Expo that pure big data precision medicine has developed into an intelligent robot for various diseases. Diagnosis and treatment, especially wearable devices, modern sensing, intelligent control and simulation technology, and key areas of big data mining require joint research and development.

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

IBM Watson wants more raw data innovation to reach smart healthcare

In terms of medical image analysis, Enlitic's cloud-based analysis platform integrates, models, analyzes, and visualizes, and doctors can label images to bring together unrelated data to help medical institutions make disease judgments. Now some patients need to be targeted by people, but with real-time imaging of the Aicure system, the smartphone can automatically observe the behavior of patients taking medication and improve medication compliance.

Of course, this also inspires Chinese scientists and technicians to conduct in-depth research and innovation in smart medical research and development. For example, foreign Da Vinci surgical robots are widely used in surgery. 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 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 load rate reached 99%. In the future, the knowledge and experience of well-known experts and doctors will be digitized, and intelligent diagnosis will be used. The system improves the level of diagnosis and treatment of grassroots doctors.

The distribution of various diseases brought about by the aging of China's population is uneven. Many problems need to provide convenient, diversified and efficient medical and health services for personnel, information and equipment through intelligent medical care, reducing overall medical expenses and rational allocation of medical resources.

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