It is estimated that China artificial intelligence and heath care market models reached 9.661 billions (the following units as same as this), the growth rate is 37.9% and will continue to enlarged. In 2017 will surpass 13 billions, increased by 40.7% and hopefully reached 20 billions in 2018.

According to the survey data shows that already about 78.5% medical industry has matured apply, and many trying and planing application of artificial intelligence technology. At the same time, 76.39% of people believe that artificial intelligence technology will be widely used in the medical industry.

Artificial intelligence medical applications are divided into 12 areas: voice recognition, medical imaging, drug extraction, nutriology, biotechnology, emergency room management, hospital management, health management, mental health, wearable equipment, risk management and pathology.

Through speech recognition and disease data analysis can achieve machine diagnosis of disease. Medical is vertical and professional field. There are many professional terms and professional skills that we need to learn. So this requires we need to learn a large number of medical professional vocabulary. Artificial intelligence can diagnose the disease more accurately, faster, safer, and cheaper to achieve patient management.

The combination of medical imaging and artificial intelligence is a new branch of the digital medical field also more popularity in the digital medical industry. Medical images contain massive amounts of data, even if experienced doctors sometimes seems to be at a loss. Medical image interpretation requires the accumulation of long professional experience, radiologists training cycle is relatively long, and artificial intelligence in the image detection efficiency and accuracy of two aspects, can be done faster than professional doctors can also be reduced Error rate of human operation.

The discovery and screen of drugs has gone through three stages: the first stage is a random screening drug phase between 1930 and 1960. A typical representative of the randomized screening drug is the screening of antibiotics from natural resources using bacterial culture.

The second stage is from 1970 to 2000 using high-throughput targeting screening for large chemical libraries. The combination chemistry has changed the way of humans to acquire new compounds, and they can synthesize a large number of compounds in a short time by fewer steps. In this context, high throughput screening techniques have arisen. High throughput screening technology has been developed, has become a more mature technology, not only applied to the compound chemical library of compounds screening, but also more applied to the existing compound library screening.

The third stage is now, the virtual drug screening stage that the drug screening process in the computer simulation and to predict activity of compound, and then compared compound what likely to become a drug going targeted for physical screening, which can be greatly reduces the cost of drug development.

In the field of medicine, the earliest use of computer technology and artificial intelligence also make the great progress is in the drug mining, such as the development of new drugs, conventional drug in new use, drug screening, prediction of drug side effects, drug tracking research, which all have played a positive role. Actually this produced a new subject, that is the computer simulation of drug clinical research (CTS).

At present, people's living standards have risen sharply, people for food nutrition has a higher demand, a reasonable diet and safer organic food demand to become a new food industry growth point, the urgent need for new technologies to promote industry change.

Researchers have developed a machine learning algorithm that analyzes the association between learning blood samples, intestinal flora characteristics, and postprandial blood glucose levels, and attempts to predict blood glucose with standardized foods. Glucose is the main source of energy for human cells, abnormal blood glucose can lead to a number of important diseases. It can be said that the machine learning algorithm can give more precise nutrition advice.

Among them, as a basis for the collection of health data, wearable equipment can be said that as a pioneer of artificial intelligence came to the public view. With the rapid development of artificial intelligence technology, as well as the medical data collection and application of the perfect, along with the promotion of the Internet of things environment, wearing equipment will once again force and for people's health.

Voice recognition can effectively alleviate three obvious pain points in hospital: efficiency, safety, data. Voice recognition can be a good combination with electronic medical record system. In the record of each patient's condition,also can greatly improve the efficiency through the voice input. The doctor will free from the mechanical writing and improve the efficiency of treatment and patient experience.

Intelligent medical imaging is the application of artificial intelligence technology in the diagnosis of medical imaging. Artificial intelligence in medical imaging applications are mainly divided into two parts: First is image recognition, applied to the link perception, and the main purpose is to analyze the image then obtain some meaningful and useful information; Second is the depth of learning, applied to learning and analyzing links. Through a large number of image data and diagnostic data, continuous depth trains of neural network, to enable them to master the diagnostic ability.

From the perspective of change, artificial intelligence is from the productivity level of the traditional medical industry to change; from the from, artificial intelligence applications in the medical field is a technological innovation; from the transformation, the artificial intelligence transformation of the medical field supply side; from the driving force, artificial intelligence is mainly driven by technology, especially the underlying technology.

From the nature of innovation, artificial intelligence is a major innovation; from the impact on the market, artificial intelligence will bring incremental market, and with the wisdom of continuous improvement. In theory, potential market own infinite possibility. (Source: 21IC China Electronics Network)