On December 22nd, the “AI+Cloud+ Medical Big Data & Medical Devices†Development Seminar was held in Beijing. The Beijing Municipal Science and Technology Commission, the Health and Welfare Committee and other leaders attended the meeting. Professors from universities such as the Chinese Academy of Sciences, representatives from enterprises such as Ali Health, and capitalists such as Softbank Capital also participated in the seminar, on AI, RT, cloud service disruptive technology itself, and application. Discussed with the topic of industrial investment. Technology gap: Why do doctors "don't believe" AI In recent years, new technologies such as AI, RT (robot technology) and cloud services have caused a storm in the medical and health industry. In particular, medical image analysis and identification have made substantial breakthroughs in recent years, but if we return to rational analysis and thinking, AI itself There are also a number of key fundamental and practical applications that limit the application of AI in health care. Macroscopically, the value that new technology brings to the medical industry will ultimately need to be raised to improve the level of clinical research and medical service, efficiency, quality, and provide better assistance to doctors, but the problems faced by many hospitals today are : Doctors don't believe in AI technology. Lu Qingjun, director of the Medical Affairs Department of the China-Japan Friendship Hospital and director of the Telemedicine Center of the National Health and Health Commission, as the "in-the-office", proposed two points of support for this conclusion. First, the application of AI+ medical technology must first be based on massive medical big data, and doctors often have an “excessive expectation†attitude toward data. "Medical data is a historical record, but it is going to evolve future products. How much do these products guide the future medical behavior? Doctors are suspicious." Lu Qingjun said. Secondly, AI medical products are generally based on mathematical models and artificial intelligence technologies, while engineers who develop algorithms do not understand “medicalâ€. The diagnosis conclusions given by doctors are based on experience, ethics and practice, but artificial intelligence is not currently available. reasoning". When AI medical treatment has just blossomed, ethical issues are widely discussed in the industry, but Zhang Wei, academician of the Chinese Academy of Sciences and dean of the Institute of Artificial Intelligence of Tsinghua University, believes that the power consumption ratio, artificial intelligence and human brain are hundreds of thousands of times advanced, but Regardless of robustness, generalization, error rate, number of learning samples, or interpretability, the deep learning-based recognition system is incomparable to the human brain. This is the biggest technical gap in the current AI application. Thinking on the ground: the combination of medical and big data "pose" In the AI+ medical big data landing service, the device is a crucial role. From the earliest stethoscope to the current CT, MRI, the instrument as a medical data carrier has produced two essential changes. The first is the relationship between medical staff and equipment, from single-line communication to two-way expression. In addition, the relationship between patients and devices has also changed, from the weak relationship of the original to the unrelated, and become a strong binding. Coupled with the spread of wearable devices and smart devices, the role of medical data has become increasingly important. In the hospital, the horizontal to the top three hospitals in the country, the vertical to the primary care system covering the primary care, cloud services and big data are important support; in the medical device and pharmaceutical research and development, medical big data for the equipment companies and Pharmaceutical companies have become more and more important; zooming into humans, due to people's medical health management needs have produced a major migration, but also led to the development of AI technology and the surge and precipitation of medical big data. So how do medical data be used? Xu Bo, director of the Institute of Automation of the Chinese Academy of Sciences, believes that medical big data will eventually fall into a human-centered personalized solution. “In the past, the data flow of medical health was B2C, and this method was slow due to legal and security restrictions. The current C2B data acquisition model is in an unprecedented stage of explosion.†He said, “The amount of data uploaded by ordinary people through smart devices is large. At a national level, more efficient unified data management can be implemented at the district or city level. At the enterprise level, personalized solutions based on massive data may become one of the direction of force." Xu Bo revealed that the Chinese Academy of Sciences is preparing for the Center for Intelligent Medicine and Active Health, which will have the ability to generate multimodal case generation, multimodal diagnosis and treatment, intelligent services and distributed data management. Support for AI and medical big data. In the application scenario, Fan Yubo, professor of National Rehabilitation Aids Center, Beijing Biomedical Engineering Center, and Wang Haiqiang, general manager of Ali Health Group Big Data Center, are optimistic about intelligent rehabilitation equipment, AI general practitioner assistant, intelligent internet hospital and The combination of telemedicine and AI. Capital Winds: In the Smart Age, what projects are “worthyâ€? In 2018, the capital market under the influence of the cold winter was once embarrassed. Softbank capital partner Liu Wei said frankly that medical investment declined overall this year, but the new policies issued in recent years still let the investment community see the dawn. In June 2016, the State Council promulgated the “Guiding Opinions on Promoting and Regulating the Development of Big Data Applications for Health Careâ€, clearly pointing out that health care big data is an important basic strategic resource of the country, and it is necessary to standardize and promote the integration and sharing of health care big data. Open application; on July 20, 2017, the State Council issued the “New Generation Artificial Intelligence Development Planâ€, which calls for the promotion and application of new methods of artificial intelligence treatment and the establishment of a fast and accurate intelligent medical system. Softbank Capital is optimistic about the application of high-tech technology in the primary health care market. “The scale of China's medical technology market has grown from US$20 billion in 2011 to nearly US$60 billion in 2017. The core driving force is the demand for local product growth in the community and grassroots markets.†Liu Wei said. Digital medical is becoming more intelligent. Mobile electronic devices connect medical institutions across regions and time and space. Under the “sky†of artificial intelligence cloud platforms, it is an invaluable medical big data market. "If the original Internet medical treatment is a semi-closed loop, today's AI+ medical treatment can really achieve a closed loop." Liu Wei said. Under the technical empowerment, medical services run through medical big data will also become a new wave of investment. Amino acid additives are used in feed to balance or supplement a particular production purpose of the required nutrients. 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