Good for 8 major medical fields! One article needed to understand the future of AI medical

liu, tempo Date: 2021-07-30 09:58:13
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AI is transforming healthcare.


From virtual assistants represented by voice electronic medical records, intelligent diagnosis guidance, and intelligent consultation, to AI medical imaging to realize lesion recognition and labeling, three-dimensional reconstruction, automatic target delineation and adaptive radiotherapy; medical big data and medical robots realize auxiliary diagnosis and treatment, to the use AI technology with new drug research and development, new use of old drugs, and drug screening for drug discovery; medical records structured by hospital management, hierarchical diagnosis and treatment, DRGs intelligent systems, expert systems… AI applications in the medical field are blooming everywhere.


Especially during this year’s anti-epidemic period, artificial intelligence has a boundless scene on the frontline of the anti-epidemic.


So, can AI soar along the path of medical development?


The based on the fundamentals of industry development, combined with the latest development and application trends of current artificial intelligence medical care, and has eight major subdivisions for public health, hospital management, medical imaging, medical robots, drug research and development, health management, precision medicine, and medical payment. Conduct in-depth research and analysis in the field, analyze the different development stages, development characteristics and application value of each field, and count the main market participants, and strive to trace the new trend of the development of the Internet medical industry in 2020.


1. Want to know the direction of the wind, look at the trend first

Overall development profile

Overview of the world’s artificial intelligence medical development


Compared with artificial intelligence application fields such as manufacturing, communications and media, retail, and education, the global artificial intelligence medical treatment is still in the early stage, with a relatively low degree of commercialization and a low industry penetration rate.


Artificial intelligence medical has a wide range of market needs and diversified business trends, and has a broad space for development. At present, the market scale is growing rapidly, and a large number of start-up companies continue to emerge. It is estimated that by 2025, the total value of the artificial intelligence application market will reach 127 billion US dollars. Among them, the medical industry will account for one-fifth of the market size.


From the perspective of specific applications, medical informatization has been applied early, intelligent diagnosis and treatment, and medical health management have been widely implemented, the drug research and development market has a large scale, and the growth rate of medical imaging has been rapid.


AI medical


The combination of medical imaging and artificial intelligence is another important application field of artificial intelligence medicine, and it is also an area that has grown rapidly in recent years. The development of this field presents different characteristics in China and the United States. The United States needs to use artificial intelligence to make up for the obvious shortage of radiologists in the country, while China has an even more urgent need for cross-platform imaging cloud technology support.


In addition to China and the United States, Israel is also a world leader in artificial intelligence medical image analysis.


In addition, artificial intelligence medicine is gradually being applied in surgical robots, precision medicine and other fields, and its development prospects are good.


From a global perspective, the development of artificial intelligence medical care in China and the U.S. are both strong, followed by countries such as Japan, the United Kingdom, and Israel.


The development path of artificial intelligence empowering the medical industry can be boiled down to the three stages of “computational intelligence-perceptual intelligence-cognitive intelligence”, which spirally develop with technological progress.


Computational intelligence is the initial stage of the development of artificial intelligence medical care. At this stage, artificial intelligence is mainly manifested in the computing power support for the medical industry. Mass medical data resources are obtained through computers, and the data is integrated, processed and analyzed, which is the realization of precision medicine, an important guarantee for smart healthcare.


Perceived intelligence is the ability of a machine to receive information from the outside world and realize human-computer interaction. The machine’s perception of external information is mainly through the conversion of images, sounds, texts, etc. into digital forms for memory and learning, and inferences and decisions based on related algorithms. In the field of artificial intelligence medical treatment, it is mainly reflected in the recognition and processing of multi-dimensional medical information such as images and sounds, which helps doctors make rapid diagnosis and greatly improves the efficiency of doctors’ diagnosis and treatment.


Cognitive intelligence is a further development of artificial intelligence medicine. It uses machine self-learning to carry out purposeful reasoning, optimize decision-making systems, realize human-computer interaction, and assist or partially replace doctors in completing medical diagnosis. At this stage, the computing and cognitive capabilities of artificial intelligence have been greatly improved. The data processed has expanded from health care to more complex and diverse directions such as clinical medicine and cutting-edge scientific research, and artificial intelligence has been applied to all aspects of the medical ecology. , Use deep learning technology to perform multi-dimensional reasoning and use of medical data resources.


Artificial intelligence medicine is transitioning from perceptual intelligence to cognitive intelligence.


AI medical imaging is the most widely used scene of artificial intelligence in the medical field. It is the first to land, apply, and commercialize. Surgical robots, drug research and development, precision medicine and other fields have already been partially applied, but due to cost or technical reasons, they have not yet achieved large-scale popularization. The future growth space is large. Affected by the new crown pneumonia epidemic in early 2020, artificial intelligence is particularly important in the field of public health. It plays an important role in the prevention and control of infectious diseases. Infectious disease big data analysis and early warning systems, epidemic investigation systems, intelligent temperature measurement robots, disinfection robots, voice service robots, etc. are widely used in the front line of the “epidemic” war.


The commercialization path of artificial intelligence medicine usually follows the model of “academic research-commercial application”. Different from laboratory products, the commercialization of artificial intelligence medicine requires the use of artificial intelligence technology to solve practical problems in the medical field, and realize the behavior of commercial realization by meeting the needs of a certain scale of the market. Its essence is commercial behavior, with the purpose of making profit. Therefore, there must be clear regulations on the technological maturity, sales method, and profit model of artificial intelligence medical care, so as to realize the commercialized and standardized management of artificial intelligence medical field.


Development policy analysis

Analysis of overseas AI medical development policies


The lack of medical resources and the low efficiency of medical treatment are problems faced by many countries. The development of artificial intelligence medicine can not only assist doctors in improving the efficiency of diagnosis and treatment, but also promote the development of medical technology and provide the possibility of curing complex diseases. The development of artificial intelligence in the United States is relatively early, and the legal and technical specifications for artificial intelligence are relatively mature.


At the policy level, the U.S. government issued the National Artificial Intelligence Research and Development Strategic Plan in October 2016 to encourage the development of artificial intelligence-related technologies and propose long-term investment strategies and collaboration methods for artificial intelligence.


Analysis of the current situation of artificial intelligence medical treatment

Enterprise status


The development links of the artificial intelligence medical industry mainly include the basic layer, the technical layer, and the application layer.


Overseas Internet giants and traditional medical giants have also accelerated their deployment in the artificial intelligence medical field. The United States is the country with the earliest deployment in the field of artificial intelligence medical care. The major giants have gone down one after another. Start-ups continue to emerge, and they have made breakthroughs in medical big data and auxiliary diagnosis.


Internet giants are more inclined to choose to cut in at the bottom and deploy smart medical infrastructure, for example: IBM, Google, Microsoft, Facebook, Amazon, Ali, Baidu, etc. Google’s artificial intelligence technology has developed earlier and has a wider layout. It is also in a relatively leading position in the research and development and investment of artificial intelligence medical care, and is involved in drug research and development, telemedicine, and health management.


However, the development of traditional medical companies in the field of artificial intelligence pays more attention to the digital transformation of products.


Analysis of the current situation of AI medical investment and financing


The artificial intelligence medical industry is in a period of growth, with rapid market growth and high capital enthusiasm. In recent years, the number of investment and financing projects in the artificial intelligence medical field in my country has grown rapidly, and the popularity has increased significantly. Most of the corporate financing rounds are relatively advanced, and the entire industry is in the growth stage.


In terms of investment amount, prior to 2015, the enthusiasm for equity investment in the artificial intelligence medical field was low, while from 2016 to 2018, the enthusiasm for equity investment in this field increased rapidly.


In the field of overseas artificial intelligence medical care, according to the Whale Quasi database, a total of 19 equity investment cases in the artificial intelligence medical field from the United States, Canada, Singapore, India and other countries have been included, with an investment amount of US$156 million. The application areas involved include drug research and development, Medical consultation, health and anti-epidemic, auxiliary treatment, electronic archives.


Analysis of the status quo of artificial intelligence medical technology


The level of development of artificial intelligence medical technology is closely related to the level of development of artificial intelligence technology. The development of artificial intelligence technology is divided into computational intelligence, perceptual intelligence, and cognitive intelligence. It needs to rely on computing power, algorithms, communications and other support.


The core of computing intelligence technology lies in computing power, and the advancement of computing power is inseparable from the support of infrastructure and hardware equipment;


The technological development of perceptual intelligence is embodied in speech recognition, image recognition, language processing, etc.;


The key to cognitive intelligence technology lies in machine learning capabilities. However, because the machine’s deep learning relies on probability analysis, the diagnosis and treatment of diseases need to be combined with complex influencing factors, which is a dynamic decision-making process. Therefore, artificial intelligence technology is widely used in disease screening to help doctors make preliminary diagnoses. There is still a large space for exploration in cognitive intelligence in artificial intelligence medicine in my country.

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