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

• 观点 • 上一篇    下一篇

产学研用协作促进中国医学影像AI产业健康发展

萧毅,刘士远()   

  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 E-mail:cjr.liushiyuan@vip.163.com

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

摘要:

近年来,人工智能在医学影像领域得到快速发展,但医院、研究机构及企业方面的合作尚不充分,在技术成果转化和产品价值落地方面存在诸多问题。针对医学影像人工智能发展道路上的一些核心问题,中国医学影像AI产学研用创新联盟组织编撰了《中国医学影像AI白皮书》。本文介绍了中国医学影像人工智能的产学研用结合现状、临床需求及AI技术转化过程待解决的关键问题:鲁棒性、易用性和安全性。要真正实现医学影像AI产品应用价值,目前需要面对诸多挑战,如缺乏生产标准、数据脱敏标准、测试评价标准及适宜有效的政策监管等。医学影像AI向更深发展,需要核心算法的突破,需要医生的深度参与,需要资金投入和社会的耐心,更需要政府破解落地等诸多环节的难题。

关键词: 医学影像, 人工智能, 白皮书, 创新联盟

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

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).)

Copyright © 2018 Chinese Academy of Medical Sciences. All right reserved.
 
www.cmsj.cams.cn
京公安备110402430088 京ICP备06002729号-1  Powered by Magtech.

Supervised by National Health & Family Plan Commission of PRC

9 Dongdan Santiao, Dongcheng district, Beijing, 100730 China

Tel: 86-10-65105897  Fax:86-10-65133074 

E-mail: cmsj@cams.cn  www.cmsj.cams.cn

Copyright © 2018 Chinese Academy of Medical Sciences

All right reserved.

京公安备110402430088  京ICP备06002729号-1