Chinese Medical Sciences Journal ›› 2019, Vol. 34 ›› Issue (2): 89-89.doi: 10.24920/003620

• 期刊瞭望 • 上一篇    下一篇

《中国医学影像AI白皮书》在京发布

中国医学影像人工智能产学研用创新联盟   

  • 出版日期:2019-06-30 发布日期:2019-07-17

Releasing of The White Paper on Medical Imaging Artificial Intelligence in China

Chinese Innovative Alliance of Industry, Education, Research and Application of Artificial Intelligence for Medical Imaging   

  • Published:2019-06-30 Online:2019-07-17

摘要:

2019年3月26日下午,在动脉网主办的北京VB100新春战略发布日的活动中,由中国医学影像AI产学研用创新联盟(CAIERA)牵头编撰的《中国医学影像AI白皮书》(以下简称白皮书)正式发布。白皮书由国内三甲医院的影像专家、高校AI研究机构的科研专家和AI医学企业代表共同参与编写,内容不仅涵盖了 AI 在医疗领域的应用、医学影像AI算法的最新进展、医学影像AI 对数据的要求及结构化数据的现状,还详细阐述了AI在16大医学影像相关领域的临床应用现状,并分析了在各自领域的发展的目标和挑战,帮助相关人士深刻透析产业发展的需求和机遇。此外,白皮书还对40家具有代表性的AI 医学影像企业进行了介绍,并指出AI产品研发需要解决鲁棒性、易用性和安全性的3个关键问题,为企业发展战略指出了方向。针对现行国家政策对医学影像AI面临的挑战和机遇,白皮书进行了深刻的解析并提出了建设性意见,以帮助产业相关人士剖析政策趋势,探寻发展机遇,制定适合的发展战略。这些内容不仅是产学研用各个环节相关人员的心血的凝聚和智慧的结晶,也代表了目前国内AI领域的权威声音。此次白皮书的发布,梳理了近些年AI在医学影像领域的应用,分析了行业现状及未来动向,对于了解市场需求、推动规范体系建立将起到指导作用。白皮书全文可以在CAIERA网站上阅读,或扫描本文二维码手机阅读或下载。

关键词: 人工智能, 医学影像, 白皮书

Abstract: In the afternoon of March 26,2019, The White Paper on Medical Imaging Artificial Intelligence in China was officially released in Beijing by the Chinese Innovative Alliance of Industry, Education, Research and Application of Artificial Intelligence for Medical Imaging (CAIERA). The white paper was co-operatively written by the medical imaging experts from the tertiary Chinese hospitals, the scientific experts from AI research institutions and the leading AI medical enterprises in China. The contents of the white paper not only cover the up-to-date application of AI in medical field, the latest advances of AI algorithms in medical image processing, the data requirement for medical AI development, and the current situation of structured data, but also expatiate the goal and challenge of clinical application for medical imaging AI development in 16 medical subject areas, which helps to identify the demands and opportunities for the AI industry. Forty representative enterprises of AI medical imaging in China were introduced in the white paper. The white paper points out the three key problems in development of AI products: the robustness, ease of usage and data security, which provides guidance of direction and strategy for the enterprises. Particularly, in view of the national policy on developing AI, the white paper gives a profound analysis on the challenges and the opportunities that medical imaging AI is facing. These contents agglomerate the cutting-edge efforts of experts in the industry-academia-research-application chain of medical AI, represent the mainstream voice of the society in China. The White Paper will play a guiding role in understanding the market demands and establishing standardized systems in the path of landing AI products in the field medical imaging. Full text of the White paper is publicly accessible from the CAIERA website, or by scanning the 2D code in the article.

Key words: white paper, medical imaging, artificial intelligence

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