下一个时代：世界领先的人工智能与国家医学健康事业蓬勃发展

doi:10.24920/003628

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

• 主编寄语 • 下一篇

下一个时代：世界领先的人工智能与国家医学健康事业蓬勃发展

吴健()

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 E-mail:wujian2000@zju.edu.cn

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

Wu Jian()

College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China

Published:2019-06-30 Online:2019-06-30
Contact: Wu Jian E-mail:wujian2000@zju.edu.cn
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.

摘要/Abstract

摘要：

本期专辑聚焦人工智能在医学领域的最新进展,包括当前人工智能在医学应用中的重要算法和技术的综述、在一些深耕医学领域及疾病的计算机辅助诊断研究现状、人工智能的多种应用范例,以及人工智能与医学合作继而改变常规医疗实践活动的潜在途径。我们希望本专辑能使人工智能专业人士和医学实践者们更全面地了解医学人工智能的现状,启迪更多的思路,助力医学人工智能领域的深入发展。

Abstract:

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.

Wu Jian. The Next Era: Flourish of National Health Care & Medicine with the World Leading Artificial Intelligence[J].Chinese Medical Sciences Journal, 2019, 34(2): 69-70.

参考文献 7

[1]	LeCun Y, Bengio Y , Hinton G. Deep learning. Nature 2015; 28; 521(7553):436-44. doi: . doi: 10.1038/nature14539
[2]	Mnih V, Kavukcuoglu K, Silver D , et al. Playing atari with deep reinforcement learning. . 5602. Published December 19, 2013; accessed June 9, 2019.https://arxiv.org/abs/1312
[3]	Esteva A, Robicquet A, Ramsundar B , et al. A guide to deep learning in healthcare. Nature Med 2019; 25(1):24-9. doi: . doi: 10.1038/s41591-018-0316-z
[4]	He J, Baxter SL, Xu J , et al. The practical implementation of artificial intelligence technologies in medicine. Nature Med 2019; 25(1):30-6. doi: . doi: 10.1038/s41591-018-0307-0
[5]	Greenspan H, Ginneken BV, Summers RM . Deep learning in medical imaging: overview and future promise of an exciting new technique. IEEE Trans Med Imaging 2016; 35(5):1153-9. doi: . doi: 10.1109/TMI-2016.2553401
[6]	Ravi D, Wong C, Deligianni F , et al. Deep learning for health informatics. IEEE J Biomed Health Informatics 2016; 21(1):4-21. doi: . doi: 10.1109/JBHI.2016.2636665
[7]	Ravizza S, Huschto T, Adamov A , et al. Predicting the early risk of chronic kidney disease in patients with diabetes using real-world data. Nature Med 2019; 25(1):57-9. doi: . doi: 10.1038/s41591-018-0239-8

优先出版

当期目次

过刊浏览

虚拟专题

作者中心

评阅者中心

下一个时代：世界领先的人工智能与国家医学健康事业蓬勃发展

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

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献 7

相关文章 0

Metrics

推荐阅读 10