With the development of science and technology, there are more and more cross integration among various disciplines. Life science has entered a cross-border integration. The cross-border integration and rapid iteration of artificial intelligence, big data, 3D printing and emerging technologies have injected new impetus into cutting-edge technologies. Through the technologies and means of computer vision, speech recognition, machine learning and artificial intelligence, the quality of medical services is greatly improved.

“Ai + medical” has attracted more and more attention. It usually refers to the application of new technologies and means such as artificial intelligence, big data, Internet of things and cloud computing to medical service subjects, medical institutions and medical service objects.

Broad industrial prospects

Throughout the global medical industry, there are an average of 14 doctors per 10000 people, 14 in China and about 27 in the United States. It is estimated that by 2025, China’s population over 65 will account for about 29% of the total population, about 400 million people.

The increase of AI medical application scenarios on the tuyere and the difficulty of commercial realization

It is not difficult to see that at present, China is facing the imbalance between supply and demand of high-quality medical resources, long doctor training cycle, rapid change of disease spectrum, rapid technological change, aggravation of population aging, growth of chronic diseases and other problems to be solved. With the increase of people’s attention to health, a large number of needs have led to the rapid development of medical AI.

“We can see that there is a great demand in the medical industry, which urgently needs the empowerment of AI. Our medical treatment has gone through health informatization, medical big data and today’s medical artificial intelligence. Moreover, the pain point of medical treatment is obvious, our needs and resources do not match, the gap between central and Western medicine is also very large, the aging is very serious, and the efficiency of management needs to be improved And innovation cycle is also very long, “said Wang Yanfeng, vice president of Artificial Intelligence Research Institute of Shanghai Jiaotong University.

2016 is considered to be the first year for AI + healthcare to form an investment outlet in China, and a total of 27 enterprises obtained financing. In 2017, more than 28 AI medical startups received financing, with a total amount of more than 1.7 billion yuan.

International giants also pay attention to this field. Take medical robots as an example. In February this year, Johnson & Johnson acquired aurishealth, a surgical robot company, for $3.4 billion, mainly in the field of bronchoscopy; Last September, Medtronic acquired mazor robotics, an orthopaedic robotics company, for $1.6 billion; Earlier, Stryker, an American plastic equipment manufacturer, acquired Mako and its robot assisted technology.

According to the data of Boston Consulting, the global medical robot industry is expected to reach US $11.4 billion by 2020. Among them, the surgical robot has the largest scale, accounting for 60% of the market share; Minimally invasive radiation surgery system accounts for about 20%; Emergency robots, exoskeleton robots, etc.

Increase in practice areas

Both at home and abroad, the application and practice fields of AI medicine begin to increase, which is also the inevitable result of the development of science and technology.

“We can see the deep integration and mutual promotion of AI medical core technology and medical scene. We use the medical scene to promote the development of AI core technology, and use the development of AI core technology to promote the whole promotion of medical treatment. There will be many applications in intelligent image analysis and intelligent consultation. For example, our cases can be through cross scene and cross department electronic disease For example, an intelligent analysis system that can conduct collaborative mining and support cases, “said Wang Yanfeng.

The increase of AI medical application scenarios on the tuyere and the difficulty of commercial realization

At present, there are 367000 tumor patients in Shanghai, and only 200 cases of MDT (multidisciplinary diagnosis and treatment) of single disease can be achieved every year, which is a huge gap. Data show that after MDT, the five-year survival rate increases by 10%, which is a very amazing data. “MDT is very good. We can’t solve it now. With AI medical technology, it is expected to solve this problem through multi-disciplinary comprehensive diagnosis system,” he said.

In addition, AI can also play many roles in hospital management. “In terms of ICU care, ICU medical staff work very hard, but 60% to 70% of their energy do care, and 30% to 40% of their energy do records. We use AI to automatically help him record, get in and out of bed, turn over, etc. we use AI to record, so as to save more energy for medical staff and let medical staff take more energy to take care of patients,” said Wang Yanfeng.

In the field of health management, that is, the mathematical human body. The human body can be digitally managed through detection, so it is possible to manage endocrine diseases without taking drugs in the future.

Through the intelligent data application of AI, medical services can be better standardized, so as to balance the national medical service resources.

“There are so many diabetic patients, but if you go to a hospital to see a doctor, the queuing is very long. The 26 endocrinologist in Ruijin hospital should see nearly 1000 patients every day, manage 90 beds of diabetes, and at the same time add emergency treatment. How can it happen? This requires AI to help us do it. We can achieve a center, one-stop service and a standard through technology.” Ning Guang, academician of the Chinese Academy of engineering and lifelong professor of Ruijin Hospital Affiliated to Shanghai Jiaotong University, said.

He pointed out that digitizing all patient data through the AI system can save doctors’ reading and examination time. At the same time, the most important thing for patients is to live, to transmit the data of patients’ lives to the cloud through AI, and to manage the life style of diabetic patients. After management, many changes can take place.

Jia Jiaya, a lifelong professor of the Chinese University of Hong Kong, an outstanding scientist of Tencent and the head of Youtu X-lab, introduced that through AI algorithm, doctors can make more accurate judgments.

“The hardware we do is like this. An AI algorithm is embedded in the hardware. A box pops up during the inspection process. The box tells the doctor that I find there may be a problem in this place. You should stop and have a look at this place. If the doctor is still uncertain, he can press a button and send it to Tencent cloud Above, the system will accurately determine whether the tissue is a tumor, benign or malignant, and how likely it is. Then the picture will be sent back soon, and the doctor can see that AI has made an accurate judgment. The final decision is not the AI, but the doctor, “Jia Jiaya said.

The advantage of this application is that it can not only improve the accuracy, but also effectively improve the medical level in remote areas.

Commercial value to be solved

Although the application of AI medicine is gradually increasing, it seems that the commercial value of technology in this field has no liquidity.

“The technology in this field is immature and is still in the exploratory stage,” an entrepreneur engaged in the above fields told reporters.

Zhang shaoting, vice president of Shangtang technology, believes that two points are needed to achieve discovery in this field. The first is how to become a rigid demand, and the second is how to have the ability of premium. Because in the end, all things, enterprises will still be driven by capital and still have value.

Leave a Reply

Your email address will not be published. Required fields are marked *