Artificial intelligence has gradually penetrated into people’s lives, and the health care industry has also undergone great changes. In recent years, AI+ medical treatment has emerged rapidly. So, what is AI+medicine?
Artificial intelligence + medical care is the phenomenon of artificial intelligence technology empowering application scenarios in medical-related fields, that is, using the most advanced artificial intelligence technology to achieve the goal of connecting patients with medical workers, medical institutions and medical equipment. of informatization. It can be understood that through the construction of infrastructure and data collection, artificial intelligence technology and big data services are applied to the medical industry to improve the diagnostic efficiency and service quality of the medical industry and better solve the problems of shortage of medical resources and aging population. question.
With policy support, technology iteration and market demand, AI+ medical treatment is ushering in rapid development
2020 is a turning year for the AI+ medical industry. On the one hand, the approval of Class III AI medical devices has enabled the AI ??medical imaging industry to pass the review and approval stage that has troubled it for many years, and move from "application implementation" to "commercialization"; on the other hand, the epidemic has accelerated the relationship between hospitals and various industries. Enterprises carry out proactive intelligent reconstruction. According to iResearch's "China AI+ Medical Industry Research Report", the CAGR (compound growth rate) from 2020 to 2022 will reach 51.9%, and the AI+ medical market size is expected to exceed 7 billion yuan in 2022.
In addition, policy dividends have also greatly promoted the implementation of AI+ medical applications.
The AI+ medical track is booming and has received nearly 20 billion yuan in financing so far in 2020.
According to data from the China Business Industry Research Institute, AI+ medical has accounted for 18.9% of the artificial intelligence market in 2020 . According to IDC statistics, the total value of the artificial intelligence application market will reach US$127 billion by 2025, of which the application of artificial intelligence in the medical industry will account for one-fifth of the market size, or US$25 billion. Among all applications of artificial intelligence, medical care ranks first.
AI+ medical imaging products and companies continue to emerge. According to incomplete statistics from Tianyancha, since 2020, there have been 89 financing events in the domestic AI+ medical field, with a total financing amount of 17.5 billion yuan. Among them, medical imaging accounts for about 1/3 of the total financing.
Research by Tianyancha Data Research Institute found that from the financing rounds in the past two years, more than 60% of companies are in Series A and Series B. These companies have begun to enter the mature stage of development, and their product technologies have gained market share. Companies that are recognized and have mature business models are more likely to be favored by capital. Various companies have also stepped up their efforts in technology research and development to build competitive advantages through innovation and accelerate the pace of development.
AI+ medical application scenarios are extensive
At present, my country's AI+ medical care is mainly used in five major fields: medical imaging, auxiliary medical care, drug research and development, health management, and disease prediction.
AI medical imaging. It has the characteristics of fast speed, high stability and low cost. With the development of medical imaging big data and image recognition technology, medical imaging has become the most mature field in China that combines artificial intelligence and medical care. The AI ??medical imaging industry has performed well, and has mature products in the fields of tuberculosis, fundus, breast cancer, and cervical cancer.
Tianyancha data shows that there are currently more than 20,000 related companies in my country that have "medical imaging, medical imaging" in their names or business scopes, and more than 50% of them are active, existing, moving in, or moving out. The relevant enterprises were established within 5 years. In terms of geographical distribution, Guangdong has the largest number of medical imaging companies, with more than 3,000, accounting for 13% of the country's total.
The combination of artificial intelligence and medical care has iterated traditional medical care into the era of smart medical care, and the ability of artificial intelligence (AI) medical imaging to assist diagnosis has become increasingly apparent. Judging from the patent application data, there are more than 7,000 patent application information from 2011 to 2020, and the number is increasing year by year. Among patent types, invention patents accounted for the largest proportion, reaching 53.73%, followed by utility models, accounting for 38.46%.
AI-assisted medical treatment. In terms of auxiliary diagnosis, take the Watson Doctor Platform as an example. It can synthesize various types of patient information in a short time and combine millions of data to provide accurate diagnosis results and treatment plans.
In terms of auxiliary surgery, take the da Vinci robot as an example. This is a human-machine collaborative robot. During the operation, the doctor can use the robotic arm to assist the surgery in real time and accurately from thousands of miles away.
There are currently more than 110,000 medical diagnosis-related companies in my country, and more than 80% of related companies were established within 5 years. Among them, more than 30,000 new companies were registered in 2020 alone, with a growth rate of 63%. In terms of geographical distribution, Guangdong has the largest number of AI-assisted diagnosis companies, with more than 30,000, accounting for 30% of the country's total.
AI drug research and development. Domestic new drug research and development is still dominated by generic drugs and improved drugs, mainly for the cooperation between AI companies and pharmaceutical companies to develop new drugs. The complete drug development process includes target screening, drug discovery, clinical trials, etc. With the application of big data and artificial intelligence in scientific research, drug research and development will become more accurate and convenient, effectively solving the problems of long cycle, high cost and low success rate.
There are currently more than 60,000 drug research and development-related companies in my country, 50% of which were established within one year. Among them, more than 20,000 new companies were registered in 2020 alone, with a growth rate of nearly 100%. In terms of geographical distribution, Guangdong has the largest number of AI drug research and development companies, with more than 11,000, accounting for 18% of the country's total.
AI health management. The product form is mainly smart wearable devices. After the scope of medical AI expanded to health care in 2019, domestic wearable devices have been widely used in medical scenarios. Through intelligent analysis of health big data, it can help individuals or enterprises manage their health in a targeted manner, through long-term real-time monitoring and Multi-dimensional data management and analysis turn passive disease treatment into active health monitoring.
There are more than 15,000 wearable device-related companies in my country, of which 368 are high-tech companies, accounting for 2.4%. In terms of geographical distribution, Guangdong has the largest number of wearable device-related companies, with more than 12,000. From the perspective of patent distribution, the patent types of wearable device-related companies are mainly inventions, accounting for 46.2%. In addition, utility model and design patents account for 34.0% and 19.8% respectively.
AI disease detection. Mainly focused on the field of genetic testing. Advantages: First, China has a large number of data samples. Computers need a large amount of data to continuously train algorithms. Many countries do not have such a large population base, and the amount of disease data is limited; secondly, China has broad application scenarios. With a huge number of patients and relatively few doctors, there is a huge demand for remote and artificial intelligence diagnosis in our country.
There are currently more than 5,800 genetic testing-related companies in my country, of which 190 are high-tech companies, accounting for 3.2%. In terms of geographical distribution, Guangdong has the largest number of genetic testing-related companies, with nearly 1,300 companies, accounting for 22%. From the perspective of patent distribution, the patent types of genetic testing-related companies are mainly inventions, accounting for 72.4%. In addition, utility model and design patents account for 24.41% and 3.19% respectively.
The twin engines of technology and application drive AI+ medical care to empower smart life.
Judging from the development trend of the AI+ medical industry, with the development of artificial intelligence, mobile Internet, Internet of Things, With the development of technologies such as big data and big data security, all aspects of the entire health process management will become increasingly intelligent, and precision medicine will become increasingly personalized and individualized.
First of all, in terms of AI and big data in the intelligentization of the medical industry, it is necessary to establish a manageable, controllable, and traceable open operation system for health and medical data and promote medical and health big data circulation services. It is necessary to explore medical data On the basis of new technologies such as privacy computing and artificial intelligence, integrated innovative applications are carried out in the field of auxiliary diagnosis and treatment in the medical industry. Empowered by privacy computing technology, the true privacy protection of medical data can be achieved, thereby maximizing the release of data value. For example: Huakong Qingjiao, which specializes in privacy protection and data circulation technology, has conducted AI model training and analysis on medical imaging data and verified the consistency of the training results with the plain text results.
Secondly, in terms of the maturity of AI application in the medical field, medical imaging, as a popular investment and financing track in the AI ??+ medical field, is becoming more and more subdivided in application scenarios.
The domestic application of AI+CT imaging in intelligent assisted diagnosis of cardiovascular diseases, neurological diseases, brain diseases, fundus diseases, lung diseases, etc. is relatively mature. For example: Elderly care companies have integrated and introduced AI fundus screening, millimeter wave radar, and high-sensitivity biochip technology to create high-tech elderly-friendly products for the elderly such as fundus artificial intelligence chronic disease detectors. The fundus detector can screen out 30 types of diseases in 3 minutes. Health diseases, get a physical examination report generated based on automatic algorithms.
In the future, relying on the excellent algorithms and big data analysis of AI + medical, the data barriers of each service port of the relevant service platform will gradually be cleared, achieving perfect implementation in various core application scenarios, and ultimately improving the overall domestic medical level.