The latest AI medical report in Asia released by MIT Technology Review: AI is expected to reshape the medical structure in Asia

The medical field has always been an excellent landing scene for AI On October 14, the MIT Technology Review released the report "Ai healthcare: the future of Asia's development space, capabilities and active health" (hereinafter referred to as the report), which pointed out that AI is rising in the field of healthcare in Asia to meet its regional needs and challenges The report evaluates the value and Prospect of AI used in medical services in Asia through interviews, research, field visits and other research methods with experts and leading enterprises in the medical field in Asian countries Among them, the grassroots cases of Baidu CDSS have become the key analysis and recommendation cases in the report due to its extensive implementation and effective use According to the report, in the context of the shortage of medical human resources, many countries in Asia are facing the problem of shortage of medical resources According to the data of the World Health Organization, by 2030, more than 12 million medical practitioners are needed in Asia, an increase of more than 70% compared with the current situation Secondly, insufficient medical expenditure is another serious challenge With the exception of developed economies, the per capita medical expenditure of other Asian countries and regions is less than one quarter of the OECD standard, while AI technology is effectively reducing the medical development gap in Asia On the other hand, the development of medical treatment in Asia is benefiting from the huge help of the first-line medical staff under the AI technology, as well as the professional assistance brought by the new diagnosis and treatment means such as "human-computer interaction" In addition, many countries in Asia are taking "their own medical challenges" as the landing goal, and promoting AI innovation in the way of public-private cooperation Whether it is Singapore's efforts to reduce "high blood fat, high blood sugar and high blood pressure" by using AI technology, or India's push to reduce infant mortality, or Japan's application in the aging problem, etc., all make Asia's application of AI in the medical field full of urgent demand and huge market As described in the report, on the one hand, AI has effectively improved the supply capacity and efficiency of medical services in Asia; on the other hand, the huge demand and market in Asia has also promoted the rapid development and Realization of AI medical services In recent years, all countries in the world are carrying out an important strategic layout of artificial intelligence In fact, over the past 60 years, the development of AI technology has experienced a low tide, two ups and two downs In 2016, it came from the low valley with exciting technological breakthroughs and business development Looking back on the development of AI in the medical field: since the establishment of mathematical model of computer diagnosis in 1959, the concept of computer-aided diagnosis (CAD) was formally put forward in 1966 Around 1968, the development of medical "expert system" was successful, and knowledge base and reasoning machine system structure were adopted for the first time This formed a set of expert system development theory Since then, the "expert system" specially designed for the medical field has developed continuously In the 1990s, the knowledge base of the "computer-aided diagnosis" system has stored 22000 kinds of disease and 5000 kinds of symptom information At the end of 1970s, China created its first medical expert system, which developed rapidly and was widely used In 2006, neural network deep learning algorithm brought a breakthrough, and the industry rapidly developed the technology to various industries, including medical treatment The "tuyere" of AI + medical treatment has been blowing around the world for many years, and in recent years, it has become more and more popular in Asia Talking about the use of AI to improve the supply capacity of medical services in Asia and alleviate the shortage of medical resources, the report takes Baidu, a Chinese company, as an example to introduce its "clinical decision support system" (CDSS) driven by AI At present, the system has covered nearly one thousand medical institutions in 16 provinces and autonomous regions of China, and assisted doctors to make clinical diagnosis decisions through standardized diagnosis process and scientific treatment scheme recommendation "From medical image analysis to clinical assistant decision-making, from in-hospital diagnosis and treatment process management to out of hospital health management, from empowering doctors to empowering pharmaceutical enterprises, the application of artificial intelligence technology in the medical field is more and more extensive and in-depth, which can help promote the sinking of high-quality medical resources, realize resource sharing, and improve the diagnosis and treatment efficiency and medical service level of grassroots doctors." Baidu CTO Dr Wang Haifeng pointed out In addition, in a visit to Baidu and its landing cases, MIT Technology Review analysts in the report learned that in China, primary medical institutions should have been the first line of defense for people's health However, due to the relatively limited level of primary medical care, most patients are more inclined to go to tertiary hospitals to get standard professional treatment This further exacerbates the "structural imbalance of China's medical resources": grass-roots hospitals have few doors and idle medical resources, while tertiary hospitals are overcrowded and overloaded for a long time Facing the above problems, AI driven CDSS has shown its unique value in many areas of China The report collects and writes the landing cases of Baidu CDSS Jiao Junfeng, director of the information center of Pinggu District (located in the northeast of Beijing with a population of 460000), said that with the help of Baidu CDSs, local medical institutions can better meet the medical needs of the entire administrative region, serving residents of 18 towns Jiao Junfeng said that the state requires the grassroots to undertake the diagnosis and treatment of 66 common diseases, which is difficult for grassroots doctors, and the limited number of local grassroots doctors can not meet the growing medical needs of residents Baidu CDSs is positioned to improve the diagnosis and treatment capacity of primary hospitals, which is highly consistent with the requirements of the state The purpose of both is to make primary medical care undertake more diagnosis and treatment tasks and better serve the grassroots masses Talking about the effect of CDSS since its implementation, Jiao Junfeng greatly appreciated it "The accuracy of this system for symptom recognition is much higher than we expected, which has been highly praised by doctors and patients In the past, there were few patients and diseases that grassroots doctors could see, so their experience in diagnosis and treatment was limited After the deployment of CDSS, the ability of doctors improved, and people increasingly recognized our local doctors Now more and more patients come to the grass-roots hospitals to see doctors, instead of going straight to the big hospitals regardless of the severity of the disease as before " It is understood that the interpretability of Baidu CDSs is based on NLP and kg technology, which are also the key factors for the final success of the CDSS "Medical natural language processing technology and knowledge mapping technology have laid the foundation of Baidu AI medical," Huang Yan, general manager of Baidu intelligent medical, was interviewed by the report Natural language processing technology can automatically identify the entities in medical records and medical documents, and integrate them into the medical knowledge map The compilation and understanding of medical knowledge is very complex and highly structured Without the close cooperation of medical experts and AI engineers, it is difficult to achieve it " The report also points out the importance of preventive diagnosis and treatment strategies in view of the development trend of AI medicine in Asia In the future, the medical ecosystem will focus more on health and well-being AI will play a leading role in promoting "active health" by identifying disease symptoms and tracking health status At the same time, the medical system must adhere to people-oriented From an ethical point of view, technology must be an auxiliary tool for doctors and medical practitioners In order to ensure the accountability of the medical system, the ultimate decision-making power must be firmly in the hands of human beings AI developers should ensure that doctors and patients can accurately interpret and understand technology, so that doctors and patients will continue to trust technology and be willing to use artificial intelligence in the medical field The full English version of the latest Asian AI medical report released by MIT Technology Review can be found on the official website (https://insights.techreview.com/ai-in-health-care/) The full Chinese version is expected to be released by the end of October for download >>>>MIT Technology Review, founded in 1899 at MIT, is the oldest and most influential technology and business magazine in the world It covers a wide range of fields, including Internet, communication, computer technology, energy, new materials, biomedicine and business technology It focuses on emerging technology and its huge impact on business and society, and provides cutting-edge information and in-depth industry trend research and analysis for more than 3 million professionals and business leaders in the field of science and technology This article is reprinted by yaozhi.com The copyright belongs to the original author The purpose of reprint is to transmit more information, which does not represent the view of this platform If the content of the work, 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