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

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  1. 海军军医大学 长征医院放射科,上海 200003,中国
  • 收稿日期:2019-06-05 接受日期:2019-06-10 出版日期:2019-06-14 发布日期:2019-06-14
  • 通讯作者: 刘士远

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 Published:2019-06-14 Online:2019-06-14
  • Contact: Liu Shiyuan



关键词: 医学影像, 人工智能, 白皮书, 创新联盟


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

基金资助: 科技部国家重点研发计划((2018YFC0116404););上海市卫生计生委智慧医疗专项研究重大项目(2018ZHYL0101)((2018ZHYL0101););上海市科委重大科技创新行动计划((17411952400).)

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