Chinese Medical Sciences Journal ›› 2019, Vol. 34 ›› Issue (2): 84-88.doi: 10.24920/003619

• Perspectives • Previous Articles     Next Articles

Collaborations of Industry, Academia, Research and Application Improve the Healthy Development of Medical Imaging Artificial Intelligence Industry in China

Xiao Yi, Liu Shiyuan()   

  1. Department of Radiology, Changzheng Hospital, Naval Medical University (Second Military Medical University), Shanghai 200003, China
  • Received:2019-06-05 Accepted:2019-06-10 Online:2019-06-14 Published:2019-06-14
  • Contact: Liu Shiyuan E-mail:cjr.liushiyuan@vip.163.com
  • Supported by:
    Supported by the National Key Research & Development Program of China((2018YFC0116404););Shanghai Health and Family Planning Commission Intelligence Medical Research Program((2018ZHYL0101););Shanghai Science and Technology Commission's Major Innovation Action Project((17411952400).)
This article overviews the clinical demands for medical imaging AI technique, the key points in AI technology transformation and the current status of collaboration. It is pointed out that industry standards, data desensitization, assessment system, regulations and policies are needed to land the values of AI products in medical imaging. 

Abstract:

In recent years, artificial intelligence (AI) has developed rapidly in the field of medical imaging. However, the collaborations among hospitals, research institutes and enterprises are insufficient at the present, and there are various issues in technological transformation and value landing of products in this area. To solve the core problems in the developmental path of medical imaging AI, the Chinese Innovative Alliance of Industry, Education, Research and Application of Artificial Intelligence for Medical Imaging compiled the White Paper on Medical Image AI in China. This article introduces the current status of collaboration, the clinical demands for medical imaging AI technique, and the key points in AI technology transformation: robustness, usability and security. We are facing challenges of lacking industry standards, data desensitization standard, assessment system, as well as corresponding regulations and policies to realize the application values of AI products in medical imaging. Further development of AI in medical imaging requires breakthroughs of the core algorithm, deep involvement of doctors, input from capitals, patience from societies, and most importantly, the resolutions from government for multiple difficulties in links of landing the technology.

Key words: medical imaging, artificial intelligence, white paper, innovative alliance

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