The clinical application research of artificial intelligence has been developed rapidly in recent years and is expected to produce a subversive breakthrough for disease elimination and health promotion. This review briefly introduces the status quo of artificial intelligence clinical application research in China, including strategic layout, research and development strength, production innovation, and clinical application.  The study found that the research and development strength of this area in China had improved markedly. The number of patent applications had increased to 2484 items in 2021 from 137 items in 2011. The number of published patents had increased to 2909 items from 26 items in 2011. Both of them increased markedly and ranked 1st in the world. The number of papers published had increased markedly to 4597, ranking 2nd in 2021 from 43 in 2011. Meanwhile, product innovation has been accelerating from research to application. On the other hand, there are also some problems: lack of significant original innovation achievements, core technologies, and key equipment; insufficient clinical orientation of product research and development; limited clinical application scenarios; poor quality of medical data, imperfection of data Standard and sharing mechanism; the imperfection of evaluation and supervision system. Based on the above, we put forward four suggestions: strengthening top-level design and coordinating the layout of the National Science and Technology Plan System; regularizing data standards, developing new forms of medical data-sharing; improving the system of laws and regulations, enhancing the level of assessment and supervision; strengthening the cultivation of talents, especially creating multidisciplinary artificial intelligence talent teams.

Artificial intelligence is an important force driving economic and social development, with great application value, and is a strategic area in which countries are competing for layout. The purpose of this paper is to make a detailed comparison between the current development status of AI in China and the United States from both macro and micro perspectives, to analyze the advantages and shortcomings of each, and to make effective suggestions for the development of AI in China. From the macro perspective, the policy strategies of AI in China and the U S are sorted out and analyzed, and the development plans at the national level in both countries are compared. From the microperspective, we compare the specific development status of AI in China and the United States from six dimensions: research situation, industrial development, talent, hardware foundation, market application, datascale, as well as the competitive advantages of each. The study found that the U.S. currently still maintains the overall leading position in the development of AI in the world, especially in terms of high-quality R&D, high-quality talents, AI chips, and financing environment with considerable advantages. China far exceeds the U. S. intotal R&D, and performs much better in the number of supercomputers, AI applications, data, etc. In the future, China should continue to attract high-caliber talent from around the world and develop incentive initiatives to encourage researchers to conduct high-quality research. In addition, it should build bridges between universities, research institutions and enterprises to strengthen in-depth communication and cooperation among the three and accelerate breakthroughs in keyareas.

The integration and innovation of the fifth generation mobile communication technology (5G) and artificial intelligence (AI) has become an inevitable trend. According to 1772 research papers retrieved from CNKI (China National Knowledge Infrastructure), this paper uses bibliometric method and CiteSpace software to draw knowledge maps to systematically analyze the research trends of Chinese scholars on the integration and development of 5G and AI. It is found that domestic relevant publications have maintained a growing trend since 2015, and research activities have gone through three stages of development: "emerging", "rapid evolution" and "deepening application". Related publications are generated from not only  research institutions of science and technology, but also institutions of social science, media, and business. Related papers can be classified into 11 research directions under three perspective of technology, application and major events. In addition, most institutions conduct research independently without cooperation, while many small and medium-sized cooperation networks have been established among scholars. Based on the analysis, this paper puts forward three suggestions.