Medical care is an important field of artificial intelligence application. The strong promotion of foreign technology localization and domestic health big data applications is promoting the industry to enter the fast lane, and relevant commercial applications are gradually emerging. This paper studies the current stage, driving factors and future development paths at home and abroad. About the principle and development of artificial intelligence. Core view The medical industry is an important area of ​​artificial intelligence applications. Medicine relies on logical induction and experience learning disciplines. Artificial intelligence has a comparative advantage. At the same time, the contradiction between supply and demand in the medical industry is prominent, and the value of artificial intelligence application is significant. Specific applications include disease prevention and health management before diagnosis; auxiliary diagnosis in diagnosis, medical image processing; virtual medical assistants after diagnosis, chronic disease management. Other areas include drug development, medical insurance control fees, etc. We believe that artificial intelligence is mainly used in data analysis-intensive and service-intensive areas. The key to combining medical and artificial intelligence is "algorithm + effective data." Advanced algorithms improve data processing efficiency and recognition accuracy, while effective data is based on the application of advanced algorithms. The effectiveness of medical data includes three aspects: electronic degree, standardization degree and sharing mechanism. According to the two dimensions of “advanced algorithm†and “data validityâ€, the industry development is divided into three stages: 1> data integration stage, weak data validity leads to limited application areas and effects, which is the stage China is in; 2> Data sharing + perceived intelligence stage, data fusion to a certain extent, the formation of commercial products, this is the stage of the United States; 3> cognitive intelligence + health big data stage, or there will be artificial intelligence applications that replace human doctors. The giant has both algorithm and data advantages, focusing on the field of auxiliary diagnostics; startups cut through the market segments. IBM is the leader of "artificial intelligence + medical". Its strength lies in natural language processing, and it searches for deep relationships by mining unstructured data. Its business strategy is: 1> deep focus on the field of cancer, and expand to other areas; 2> acquire data resources through acquisition; 3> expand the use of scenarios through cooperation, and output ecological capabilities. Google is a powerful new entrant and is currently working in the field of image recognition for eye diseases. Most of the startups are in the early stage of financing, and the market value is still small. This is related to the fact that artificial intelligence is at an early stage of development, the cost of medical data acquisition is high, and the generalization of algorithms in the medical industry segmentation field is not strong. The strong advancement of foreign technology localization and domestic health big data applications will promote the industry to enter the fast lane. In terms of algorithms and technologies, with the internationalization of giants such as IBM Watson, the introduction of related technologies will accelerate the development of the industry. In terms of data, the policy promotes the application of health big data. It is expected that some medical data will be shared in 2018. In 2020, the health database will be fully covered, and the time node will clearly promote the industry to enter the fast lane. Potential players in China now include giants such as BAT, information technology vendors with medical big data operations capabilities, and startups with algorithmic advantages. Florfenicol Solubility,Florfenicol Swine,Florfenicol Chicken,Florfenicol Antibiotics Shandong Shengli Bioengineering Co., Ltd , https://www.shenglipharm.com