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

doi:10.24920/003619

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产学研用协作促进中国医学影像AI产业健康发展

中国医学科学杂志（英文版） 2019年34卷第2期页码：84-88

Perspectives | Updated：2024-04-10

- 产学研用协作促进中国医学影像AI产业健康发展
- Affiliations：
  
  海军军医大学长征医院放射科,上海 200003,中国
- Author bio：
  
  *,E-mail: cjr.liushiyuan@vip.163.com
- Funds：
  
  科技部国家重点研发计划;Supported by the National Key Research & Development Program of China((2018YFC0116404););上海市卫生计生委智慧医疗专项研究重大项目（2018ZHYL0101）;Shanghai Health and Family Planning Commission Intelligence Medical Research Program((2018ZHYL0101););上海市科委重大科技创新行动计划;Shanghai Science and Technology Commission's Major Innovation Action Project((17411952400).)
- DOI：10.24920/003619
  中图分类号：
- 收稿日期：2019-06-05，
  
  录用日期：2019-6-10，
  
  网络出版日期：2019-06-14，
  
  纸质出版日期：2019-06-14
- Accepted：
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萧毅, 刘士远. 产学研用协作促进中国医学影像AI产业健康发展[J]. 中国医学科学杂志（英文版）, 2019,34(2):84-88.

Xiao Yi, Liu Shiyuan. Collaborations of Industry, Academia, Research and Application Improve the Healthy Development of Medical Imaging Artificial Intelligence Industry in China[J]. Chinese medical sciences journal;chinese medical sciences journal, 2019, 34(2): 84-88.
萧毅, 刘士远. 产学研用协作促进中国医学影像AI产业健康发展[J]. 中国医学科学杂志（英文版）, 2019,34(2):84-88. DOI： 10.24920/003619.

Xiao Yi, Liu Shiyuan. Collaborations of Industry, Academia, Research and Application Improve the Healthy Development of Medical Imaging Artificial Intelligence Industry in China[J]. Chinese medical sciences journal;chinese medical sciences journal, 2019, 34(2): 84-88. DOI： 10.24920/003619.

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。

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.

关键词

Keywords

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