1. 沈阳东软医疗系统有限公司,辽宁 沈阳 110167
2. 慧影医疗科技(北京)有限公司,北京 100192
3. 东软集团股份有限公司,辽宁 沈阳 110179
[ "韩冬(1983- ),男,博士,沈阳东软医疗系统有限公司人工智能中心算法研发负责人,主要研究方向为人工智能、图像处理、计算机视觉等。" ]
[ "李其花(1987- ),女,慧影医疗科技(北京)有限公司合作科学家,主要研究方向为医学人工智能。" ]
[ "蔡巍(1982- ),男,东软集团股份有限公司先行产品研发事业部人工智能专家,东软智能医疗研究院研究员,东软智能医疗研究云平台研发负责人,主要研究方向为人工智能、复杂系统与复杂网络、类脑计算、自然语言处理。" ]
[ "夏雨薇(1993- ),女,慧影医疗科技(北京)有限公司合作科学家,主要研究方向为计算机视觉。" ]
[ "宁佳(1991- ),女,博士,沈阳东软医疗系统有限公司磁共振研发中心算法工程师,主要研究方向为磁共振快速和定量成像、非笛卡儿成像等。" ]
[ "黄峰(1973- ),男,博士,曾任飞利浦医疗主任研究员和临床应用总监,现任沈阳东软医疗系统有限公司人工智能中心首席科学家兼中心主任、磁共振首席科学家兼卓越临床总监。中国医学装备协会人工智能联盟理事、影像装备人工智能联盟企业副主任委员。发表国际核心期刊文章43篇,发表会议论文超过200篇;申请的国内国际专利已公布40余项。担任13种期刊的审稿人,曾任 IEEE transaction on Biomedical Engineering 的副主编和《中国医学装备》编委,作为主要负责人获得国家“十三五”和上海市基金累计超过2 000万元。数十次在国际会议上口头汇报或受邀演讲。多项研究成果已经广泛应用于工业界。" ]
网络首发:2019-01,
纸质出版:2019-01-15
移动端阅览
韩冬, 李其花, 蔡巍, 等. 人工智能在医学影像中的研究与应用[J]. 大数据, 2019,5(1):2019004.
Dong HAN, Qihua LI, Wei CAI, et al. Research and application of artificial intelligence in medical imaging[J]. Big data research, 2019, 5(1): 2019004.
韩冬, 李其花, 蔡巍, 等. 人工智能在医学影像中的研究与应用[J]. 大数据, 2019,5(1):2019004. DOI: 10.11959/j.issn.2096-0271.2019004.
Dong HAN, Qihua LI, Wei CAI, et al. Research and application of artificial intelligence in medical imaging[J]. Big data research, 2019, 5(1): 2019004. DOI: 10.11959/j.issn.2096-0271.2019004.
近年来,人工智能成为学术界和工业界的研究热点,并已经成功应用于医疗健康等领域。着重介绍了人工智能在医学影像领域最新的研究与应用进展,包括智能成像设备、智能图像处理与分析、影像组学、医学影像与自然语言处理的结合等前沿方向。分析了研究和发展从源头入手的全链条人工智能技术的重要性和可行性,阐述了学术界和工业界在这一重要方向上的创新性工作。同时指出,人工智能在医学影像领域中的研究尚处于起步阶段,人工智能与医学影像的结合将成为国际上长期的研究热点。
In recent years
artificial intelligence (AI) has become the research hotspot in both academic and industrial societies
and has been applied to biometrics
natural language processing (NLP)
finance and healthcare
et al.
with huge success. The most recent progress of research and application of AI in medical imaging was introduced
including intelligent imaging system
intelligent image processing and analysis
radiomics and the combination of medical image and NLP
et al. The importance and feasibility of developing full-pipeline AI techniques were elaborated
and the related innovative work from both academic and industrial societies in recent years was introduced. Research of AI in medical imaging is still in its early stage and much more work needs to be done in the future
which will make this research area a long-term international hotspot.
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