In recent years, the role of artificial intelligence technology in medical image recognition, disease analysis, health management and other aspects has been gradually paid attention to. The outbreak of COVID-19 has accelerated the application of these intelligent technologies in the medical field.

Recently, the China Institute of information and communications, industrial Internet Innovation Center (Shanghai) Co., Ltd. and 36 krypton Research Institute jointly released the 2020 blue book on the development of artificial intelligence medical industry.

The development opportunity of artificial intelligence medicine in China

① The top-level design has been continuously enhanced, and the policy environment for industrial development has been continuously optimized.

② The market growth has ushered in a driving period, and the window for the management to enter the market has been opened.

③ The market demand is increasingly strong, and there is room for growth in areas such as chronic disease management. According to the data of the National Bureau of statistics, the proportion of the elderly population in China has increased year by year.

④ The urgent need of COVID-19 has opened up a new situation for the development of related industries.

⑤ The growth of 5g, quantum computing and other new technologies has provided new momentum for industrial development.

⑥ The increase in the thickness of compound talents creates new nodes for the industry.

Development exploration of eight subdivisions

1. Ai+ public health: prevention, control and governance are both pain points and breakthroughs

Important application scenarios:

① Infectious disease prevention and control infectious disease prevention and control is the largest application scenario of artificial intelligence in the field of public health at present. Artificial intelligence mainly plays a role in the prediction of infectious disease outbreak, transmission and traceability path screening, development trend prediction, etc.

② Health supervision utilizes innovative technologies such as artificial intelligence and the Internet of things to create a “smart health supervision” comprehensive supervision platform, effectively improve the work efficiency of health supervision personnel and ensure the fairness of law enforcement processes.

③ The application of artificial intelligence technology in vaccine query, true and false vaccine identification and vaccine information traceability can solve this problem to a certain extent.

Key development trends:

① From the perspective of industry participants and market status, the public health field is still in the initial stage of artificial intelligence application, and it is still a blue ocean market. Under the catalysis of COVID-19, it has an accelerated development trend.

② It can improve the decision-making ability and response speed in response to emergencies such as epidemics, reduce the cost of prevention and control, and expand the radius of information dissemination, thus bringing qualitative improvement to the ability of public health prevention and control.

③ With the interconnection of medical data, the problem of medical data island is being actively solved, and the applications of artificial intelligence in the field of public health will be gradually deepened.

④ In the past two years, artificial intelligence is expected to further release its potential in the two fields of big data analysis and early warning system of infectious diseases and epidemic screening system, and provide strong decision support for public health governance.

Emerging enterprises in public health:

① Bairong yunchuang (intelligent voice dialogue robot)

② Jingteng network (Intelligent epidemic notification return visit and intelligent epidemic customer service system)

③ Jingdong digital Department (epidemic situation inquiry robot)

2. Ai+ hospital management: intelligently assist manpower to improve accuracy + Efficiency

Core application value:

① Using intelligent information technology to reshape the whole process medical experience of patients;

② Using artificial intelligence and big data to drive intelligent management and decision-making at the hospital end, and promote the continuous innovation of hospital management system and mechanism;

③ Artificial intelligence and big data can realize inter agency interconnection, break through the medical service data and ecological barriers, and improve the hospital centered medical service ecology.

Core development scenarios:

① Patient side: artificial intelligence reshapes the medical experience. Using artificial intelligence technology, medical services can break through the physical boundaries of the hospital, take patients as the center, and extend to the whole process of medical treatment before, during and after diagnosis.

② Hospital side: artificial intelligence reconstruction management system artificial intelligence goes deep into patient management (electronic medical records), medical equipment management (Intelligent closed-loop management of equipment and drugs), ward management (intelligent operation scheduling), performance management (DRGs performance), background management (intelligent background integrated management such as human resources, finance and taxation), etc., bringing overall upgrading and reconstruction to the hospital management system.

③ Ecological side: artificial intelligence improves the medical service ecology. In the whole medical service system, the hospital is at the core and is the intermediate hub for the convergence and integration of various information and data. In addition, there are other medical service institutions, medical and health product providers, payers, regulators, etc.

Emerging enterprises in the field of hospital management:

① IFLYTEK (guiding robot)

② Erudite medical cloud (specialized structured electronic medical record)

③ Shanghai Lilian (intelligent medical holographic data platform product)

3. Ai+ medical image: algorithm + efficiency improvement + accuracy improvement under analysis

Core application value:

① Undertake classification and detection. ② Work in place of doctors. ③ Provide work with added value.

Key development trends:

At present, AI medical imaging products in China are mainly distributed in the chest, head, pelvis, limb joints and other major parts, mainly focusing on disease screening in the field of tumor and chronic diseases.

At the initial stage of the development and application of AI medical imaging, lung nodule and fundus screening were hot areas. In the past two years, with the continuous maturity and iteration of technology, major AI medical imaging companies were also expanding their business radius. Breast cancer, stroke and bone age tests around bones and joints also became the key areas for market participants.

Emerging medical imaging Enterprises:

① Ping An Technology (Ping An technology pneumonia CT image intelligent auxiliary diagnosis system)

② Image based medicine (intelligent evaluation system for novel coronavirus pneumonia in chest CT)

③ Ali Dharma hospital (AI assistant for diagnosis of novel coronavirus pneumonia)

4. Ai+ medical robot

Core application value:

① Miniaturization: with the continuous development of microelectronic technology, miniaturization of medical devices has become a major development trend.

② Intelligence: intelligent human-computer interaction function, remote operation and precise control ability, personalized flexible operation based on individual conditions, and independent judgment and adaptability to environmental changes.

Key development trends:

① With China’s breakthrough in the research and development of core technologies for high-end medical devices, domestic surgical robots are gradually approaching the world’s advanced level in terms of operation mode, auxiliary surgery flexibility, workspace, operation force, positioning accuracy, etc., with great development potential.

② The development of medical service robots in China is relatively late, and it covers many scenes, so the market concentration is not high, and the degree of product homogenization competition is small.

③ China’s medical robots are still in the initial stage of development. Under the comprehensive influence of many factors, such as favorable policies, the intensification of aging, the upgrading of consumer cognition and the acceleration of industrial development, the large-scale use of medical robots will become a major trend in the future.

Emerging enterprises in the field of medical robots:

① Limeide medical (lower limb intelligent feedback training system W200)

② Remebot baihuiweikang (neurosurgery robot)

③ Jinshan Technology (abdominal and thoracic minimally invasive surgery robot)

5. Ai+ drug R & D: shorten the cycle + reduce the cost + improve the success rate

Core application value:

The application of artificial intelligence technology in the field of new drug research and development has penetrated into all links, mainly involving target discovery, compound synthesis, compound screening, crystal form prediction, pharmacological effect evaluation, drug redirection, new indication development and other scenarios.

Key development trends:

The introduction of artificial intelligence technology in drug research and development, the use of deep learning technology to analyze and process the molecular structure, and the establishment of prediction systems with high accuracy in different research and development links can reduce the uncertainty of each research and development link, thus shortening the research and development cycle, reducing trial and error costs, and improving the success rate of research and development.

At present, “artificial intelligence + drug research and development” is still a blue ocean field, in the stage of technology exploration and result verification, and has great market potential in the future.

Emerging companies in drug R & D:

① Jingtai Technology (Renova artificial intelligence drug R & D platform)

② Deep Zhiyao (AI driven integration of drug synthesis, drug design, drug activity prediction and clinical research and development)

③ Infinitybind: artificial intelligence design platform

6. Ai+ health management: intelligent terminal + management front + data ecology

Core application value:

① Carry out multi-dimensional health data collection through intelligent terminals to improve the value of data application;

② Advance health management to the prevention stage;

③ The construction of medical data ecology is an important link.

Key development trends:

① Risk identification: use artificial intelligence technology for data processing and analysis, identify the risk of disease occurrence according to key quantitative indicators, and provide suggestions on the possibility of risk reduction.

② Virtual nurse: artificial intelligence acts as a “nurse” to provide personalized nursing care to patients, record and analyze the patients’ diet, exercise and medication habits, give dynamic evaluation opinions on the patients’ physical status, and assist patients in planning and adjusting their personal lives.

③ Mental health: use artificial intelligence technology to mine the user’s language, expression, voice and other information, identify the user’s mood and mental state, and find the abnormal situation of the user’s mental health.

④ Mobile medicine, using artificial intelligence technology, provides patients with online consultation, chronic disease management and other services.

Due to the insufficient development level of wearable device hardware and the accumulation of disease-related data, the intelligent level of health management is still not high, and the user payment habit needs to be cultivated.

Emerging enterprises of health management:

① Pinecone digital (AI medical cloud safety and health management platform)

② Novartis Pharma (heart care & love)

③ Huami Technology (meDo health bracelet)

7. Ai+ precision medical applications: intelligent + customized solutions

Core application value:

Precision medicine has been applied in cancer diagnosis and treatment; Non invasive prenatal testing has become the most mature clinical project in the application of high-throughput gene sequencing technology.

Emerging enterprises in the field:

① BGI gene (platform for gene detection and gene autonomous sequencing for individualized diagnosis and treatment of lung cancer)

② Berry gene (tumor detection)

③ Daan gene (fluorescent PCR detection, gene detection)

8. Ai+ medical payment

Main application scenarios:

It is divided into five application scenarios: medical insurance payment, commercial insurance payment, crowdfunding mutual assistance, medical installment and payment tool.

Key development trends:

① The medical insurance fee control mode based on artificial intelligence mainly uses key technologies such as big data, in-depth learning and brain like information processing to deeply mine and learn medical insurance data, explore the implicit relationship within the data, and find abnormal medical insurance violation data, so as to standardize medical service behavior and control the unreasonable growth of medical expenses.

② Based on the core knowledge base covering various specifications such as diagnosis and treatment rules, drug rules and medical insurance rules, taking cost monitoring as an important means, the automatic analysis algorithm is used to realize the whole process supervision of medical insurance including pre control, pre-warning and post audit.

Emerging enterprises in the field of medical payment:

① Venture Huikang (“healthy Zhongshan” operation platform)

② Digital link e-health (fine management service of medical insurance business, medical insurance big data supervision scheme)

③ Zhicheng Minkang (medical insurance intelligent management system)

Overall development trend of the industry

① The government has put forward targeted policies for independent, safe and controllable industries, and the localization process will be accelerated again.

② The government will promote the transformation of achievements, and artificial intelligence medical products will be gradually applied on a large scale.

③ The government will promote the establishment and sharing of standardized test data sets, and continue to improve the standard and specification system.

④ The core concept of “taking patients as the core and practically meeting the clinical work needs of doctors” is gradually becoming the consensus of the industry.

⑤ The product will cover multiple diseases horizontally and go deep into the scene vertically.

⑥ Precision medicine, health management and medical robots will become the key development fields of artificial intelligence in the future.

End: favorable policies + standards and specifications make it possible to implement

The government intensively released relevant favorable policies, promoted the transformation of scientific and technological achievements, promoted data sharing, and continued to improve the industry standard and specification system.

At the same time, the core concept of “taking patients as the core and effectively meeting the clinical work needs of doctors” is gradually becoming an industry consensus. Artificial intelligence medical products are developing towards covering multiple diseases and in-depth application scenarios. It can be predicted that the era of large-scale implementation and application of artificial intelligence medicine is coming.

In the future, artificial intelligence will continue to make efforts in the medical and health field, optimize the management level of medical institutions, improve the efficiency of medical diagnosis and treatment, improve the medical and service level, enhance the medical innovation and research ability, and realize the horizontal expansion and vertical in-depth integration with the whole ecology of the medical industry.

Editor in charge: CC

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