Chinese Medical Sciences Journal ›› 2019, Vol. 34 ›› Issue (2): 69-70.doi: 10.24920/003628

• 主编寄语 •    下一篇



  1. 浙江大学 计算机科学与技术学院,杭州 310027,中国
  • 出版日期:2019-06-30 发布日期:2019-06-30
  • 通讯作者: 吴健

The Next Era: Flourish of National Health Care & Medicine with the World Leading Artificial Intelligence

Wu Jian()   

  1. College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China
  • Published:2019-06-30 Online:2019-06-30
  • Contact: Wu Jian
  • About author:Prof. Jian Wu graduated from Zhejiang University (ZJU) and obtained his Ph.D. degree at the College of Computer Science and Technology, ZJU. He is currently the vice president of National Academy of Health and Medical Big Data at ZJU, the director of the Real-doctor Artificial Intelligence (AI) Research Center of ZJU, and is also serving as members of China Computer Federation (CCF)’s Committee for Elite Young Professionals, and the Ministry of science and technology’s key field innovation team. Prof. Wu’s research focus on AI in Medicine. In recent years, he has presided one National Science and Technology Support project, five China’s National Natural Science Foundation projects, and three National High Technology Research and Development Program (863 program) projects. He has received 32 licensed patents and published over 100 SCI/EI referenced papers in this field. His received honors and awards include the 100 Most Influential Domestic Academic Paper Award in 2008 and 2009, the CCF Excellent Paper Award in 2017, the First Prize of Science Technology Progress Award of Ministry of Education in 2007, the Second Prize of National Science Technology Progress Award in 2010, the First Prizes of Science Technology Progress Award of Zhejiang province in 2008 and 2014, and the Supreme prize of China General Chamber of Commerce’s Science and Technology Award.




This special issue focuses on recent advances of medical AIs. It includes review articles for the key AI algorithms and technologies used in medicine, the current status of computer-aided diagnosis in several fields or diseases which are heavily studied, the examples of applications of AI in various forms, and the potential way that AI can cooperate and change the common practice of health system. We hope this issue can give experts and practitioners in medicine a comprehensive view of the status quo of medical AI and inspire more ideas for further development of this realm.

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