WORLD SCI-TECH R&D ›› 2023, Vol. 45 ›› Issue (2): 181-188.doi: 10.16507/j.issn.1006-6055.2022.10.004

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The Status Quo and Suggestions of Clinical Application Research of Artificial Intelligence in China

YIN Junxiang1   HUANG Xin1   LI Suning1   SANG Xiaodong1   RUAN Meihua2   LU Shan1   Fan Ling1    

  1. 1. China National Center for Biotechnology Development, Beijing 100039, China; 2. Shanghai Information Center for Life Sciences, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai 200031, China
  • Online:2023-04-25 Published:2023-04-27

Abstract:

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.

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