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    Home > Active Ingredient News > Drugs Articles > AI Healthcare enters a period of rapid growth, opening up tens of billions of market space

    AI Healthcare enters a period of rapid growth, opening up tens of billions of market space

    • Last Update: 2021-02-09
    • Source: Internet
    • Author: User
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    Medical health has become an important research and application field of artificial intelligence. In recent years, major technology giants and many start-up companies have laid out ai medical field, the application of artificial intelligence in the field of medical health is in full swing. Industry insiders believe that AI medical has entered the stage of rapid development. According to the forecast of third-party research institutions, the size of ai healthcare market is expected to reach 20 billion yuan in 2018. However, data, talent, and standards are still important factors constraining ai healthcare development.AI doctors are vying
    artificial intelligence in the field of medical and health applications, including auxiliary diagnosis and treatment, drug mining, medical robots, precision medicine and so on. At present, especially the application of auxiliary diagnosis and treatment is the most widely developed. In recent years, "smart health care assistant" products and services have sprung up.
    " the essence of artificial intelligence is to improve efficiency, artificial intelligence in the field of diagnosis and treatment applications can improve energy efficiency. "At the AI-assisted clinical diagnosis and drug safety summit forum held in Shanghai on September 19th, Zhang Shaodean, founder and chief executive officer of Sen Billion Intelligence, said in an exclusive interview with China Securities News that the challenge of medical services is mainly due to the shortage of medical resources, the solution is to provide new supplies such as the construction of new hospitals, the cultivation of new doctors, and the second is to improve the efficiency of existing supplies. The company's segment is through artificial intelligence automatic monitoring, to help health care workers efficiently manage high-risk patients and early warning adverse events, saving time, but also to reduce the error rate. At present, the company has more than 30 hospitals in Sanjia cooperation.
    And the 2018 Annual Meeting of the Chinese Society of Clinical Oncology (CSCO), held from September 19-23, is planning a "human-machine contest" for the medical community, with more than 30,000 Chinese doctors speaking against a cancer intelligent diagnosis and treatment system. Jiang Zefei, secretary-general of the China Society of Clinical Oncology, said that in 2018, the Chinese Society of Clinical Oncology began the promotion of artificial intelligence in the field of first-line cancer treatment in China. The tumor population and social environment in China have their own characteristics and cannot be fully based on foreign guidelines. By creating a Chinese version of the IBM Watson system, patients and doctors can better manage their data by planning the entire treatment path and meeting the long-term management characteristics of chronic cancer diseases, just like navigation.
    drug mining, medical robots and other fields are not as rapid as auxiliary diagnosis and treatment, but there are also many domestic enterprises involved. Qiao Hui, general manager of Hagong Intelligence, told China Securities News that one of the company's products in the field of artificial intelligence robots is a blood-picking robot, in cooperation with Veebot in the United States, the project has now completed the development of prototypes.constraints to be broken
    as one of the industry participants, one of Zhang Shao's major feelings is that AI medical care in recent years has entered a stage of rapid development. He expects large-scale applications to hit the ground in 2-3 years.
    on the one hand, the major technology giants have entered this field, overseas IBM, Google and other companies to join, the domestic BAT layout, on the other hand, the market has emerged a number of entrepreneurial companies. In the private equity market, healthcare AI startups have made $4.3 billion from 576 deals since 2013, ahead of all other sectors in AI financing, according to a recent report by CB Insights, a market research firm.
    china's medical artificial intelligence market reached 9,661 million yuan in 2016 and is expected to reach 20 billion yuan in 2018, according to a report released by the China Institute of Forward-Looking Industries.
    , china's medical information market size of about 35 billion yuan, a compound annual growth rate of 20%. At present, the vast majority of information technology does not belong to the field of artificial intelligence, but the future of intelligence will certainly be one of the key points. In addition, the new drug research and development, medical insurance control fees two major market volume can not be underestimated. As for the future of the industry development pattern, he believes that the AI medical field is more difficult to appear a winner-take-all pattern. Considering the wide coverage of the medical field, the long industrial chain links and the variety of application scenarios, this gives market participants the space to compete misplaced. At present, apart from the image track is more crowded, the rest of the field is a vast blue sea.
    ai medical development is booming, its application is still subject to many constraints. Dong Built, deputy chairman of medical information science at the Chinese Medical Association, said data, algorithms and calculation are the key to the development of AI medicine. Among them, the focus is on data, the quality of big data determines whether artificial intelligence can be "intelligent" in the future, we need to attach great importance to the construction of medical data platform.
    In addition to the challenges posed by the unstructured and non-standardized data, Zhang said, it is common in practice that IT does not understand clinically enough, and clinicians do not understand IT enough, and these two talents need to be integrated with more collisions. In addition, the standard system needs to be improved. This is another problem that AI healthcare development is currently facing. (China Securities News)
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