AI medical step into speed development period | Open tens of billions of market space
Medical Network September 21, medical health has become an important research and application field of artificial intelligence. In recent years, major technology giants and many emerging entrepreneurial companies have laid out AI medical fields, and the application of artificial intelligence in the field of medical health is in full swing. People believe that AI medical care has entered a stage of accelerated development. According to third-party research institutions, the size of the AI medical market is expected to reach 20 billion yuan in 2018. However, data, talents, and standards are still important factors restricting the development of AI medical care.
AI doctors vie for debut
Artificial intelligence in medical health The application scenarios in the field mainly include auxiliary medical treatment, drug excavation, medical robots, precision medical treatment, etc. At present, the application development of auxiliary medical treatment is the most extensive. In recent years, the products and services of 'smart medical assistants' have sprung up.
'The essential role of artificial intelligence is to improve efficiency. The application of artificial intelligence in the field of diagnosis and treatment can improve efficiency.' On the AI-assisted clinical diagnosis and medication safety summit forum held in Shanghai on September 19, Senyi Intelligent Founder and Chief Executive Zhang Shaodian said in an exclusive interview with China Securities Journal that the current medical service challenge is mainly due to insufficient supply of medical resources. The solution is to provide new supply such as new construction. hospital The second step is to improve the efficiency of the existing supply. The company's segmentation is through automatic monitoring of artificial intelligence, helping medical staff to efficiently manage high-risk patients and early warning of adverse events, saving time and reducing the error rate. The company has cooperated with more than 30 top three hospitals.
The 2018 Academic Annual Meeting of the China Society of Clinical Oncology (CSCO), held on September 19-23, is planning to launch a 'human-machine contest' in the medical field, with more than 30,000 Chinese doctors playing against a tumor diagnosis and treatment system. Jiang Zefei, secretary-general of the Chinese 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 domestic tumor population and social environment have their own characteristics and cannot be completely based on foreign guidelines. To create a Chinese version of the 'IBM Watson' system, patients and doctors can plan the entire treatment path as well as navigation, and meet the long-term management characteristics of chronic cancers to better manage data.
Although drug excavation, medical robots and other fields are not as fast as auxiliary medical treatment, there are also many domestic enterprise Participate in it. Qiao Hui, general manager of Harbin Intelligent, told the China Securities Journal that the company's product in the field of artificial intelligence robots is a blood collection robot. In cooperation with the US Veebot company, the project has already completed the development of the prototype.
Constraint factors to be broken
As one of the industry participants, Zhang Shaodian's main feeling is that AI Medical has entered a stage of rapid development in recent years. He expects that there will be large-scale application landing in 2-3 years.
On the one hand, major technology giants have entered this field, and overseas companies such as IBM and Google have joined in, and domestic BAT has been deployed one after another; on the other hand, a number of markets have emerged. Start a business The company, market research firm CB Insights, recently released a report saying that in the private equity market, the medical AI startup has raised $4.3 billion through 576 transactions since 2013, and is ahead of all other industries in AI financing.
According to a report released by the Prospective Industry Research Institute, the market size of China's medical artificial intelligence reached 9.661 billion yuan in 2016, and is expected to reach 20 billion yuan in 2018.
Zhang Shaodian said that China's medical informatization market is about 35 billion yuan, with a compound annual growth rate of 20%. At present, most of the informationization is not in the field of artificial intelligence, but the future will be one of the key points. In addition, new drug research and development, The two major market volumes of medical insurance control fees should not be underestimated. For the future industry development pattern, he believes that it is difficult for the AI medical field to have a winner-take-all pattern. Considering the wide coverage of the medical field, the industrial chain is long and the application scenarios are diverse. This gives the market participants a space for misalignment. At present, apart from the crowded video track, the rest of the field is the vast blue ocean.
Although the development of AI medical care is in full swing, its application is still subject to many constraints. Dong Jiancheng, deputy chairman of the Chinese Medical Association's medical informatics, said that data, algorithms, and computational power are the key to the development of AI medical care. The most important thing to consider is data, big data. The quality determines whether artificial intelligence can be 'intelligent' in the future, and it is necessary to attach great importance to the construction of medical data platform.
In addition to the unstructured data and the challenges brought about by non-standardization, Zhang Shaodian said that in practice, IT often does not have enough understanding of the clinical, and clinicians have insufficient understanding of IT. Talent Need more collision fusion. In addition, the standard system needs to be improved. This is another problem that AI medical development is currently facing.