特异性达99% 浙大睿医糖网病AI研究取得突破成果

2017-09-23 佚名 健康界

浙大睿医人工智能研究中心在糖尿病视网膜病变分级研究上取得突破性进展。

1.3亿糖尿病人,超过3000万糖网病(糖尿病视网膜病变)患者,失明风险比正常人高25倍……如何早期筛查眼底、快速诊断眼底图,成为防治糖网病的关键。9月22日,记者从第一届国际医疗人工智能大会上了解到,浙大睿医人工智能研究中心在糖尿病视网膜病变分级研究上取得突破性进展。

浙大睿医人工智能研究中心主任吴健透露,浙大睿医在眼底病变检测方向取得了四项发明专利,同时与北京同仁医院合作,AI深度学习后糖尿病视网膜病变5大分类,在大部分数据集上特异性可达到99%,敏感度达到95%。

2016年以来,世界刮起人工智能风潮,医学人工智能发展神速,在糖尿病视网膜病变筛查、心脏病预测、罕见病诊疗、脑瘤诊断等多个领域有所突破。面对我国医疗需求飞速增长与优质医疗资源紧缺的矛盾,国家先后印发《人工智能辅助诊断技术管理规范》、《新一代人工智能发展规划》等多个文件,指导医学人工智能发展。

在此背景下,浙大睿医人工智能研究中心于3月25日成立,集合了浙江大学计算机学院、信息学院、医学院、药学院、生仪学院等相关院系的科研力量,由中国人工智能科学带头人、浙江大学校长吴朝晖教授领衔建设,重点研究在临床大数据、影像学和基因组学上的医学人工智能共性关键技术。目前图像识别领域处于全国领先地位。

同时,浙大睿医创新“产学研”协作模式,与微医等公司合作,以产业反哺科研。据了解,连接2400多家医院、29万多医生、7300多组专家团队、12个专病专科远程会诊中心的微医,拥有广泛的医疗落地场景及线上线下的规模化专业医疗数据。浙大睿医的成果将率先让线上1.72亿实名用户、线下79个互联网医联体受益。
“除了糖网病分级研究,浙大睿医在脑卒中眼底图慢病检测云服务、疾病知识图谱、骨龄图像识别和专业影像标注工具等研究领域均取得不错进展,预计未来两个月内会有重大产品发布。” 浙大睿医人工智能研究中心副主任吴福理接受采访时表示,我国优质医疗资源紧缺,AI工具可以在辅助诊断等方面协助医生诊疗

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    2017-09-24 雅文博武

    学习了很多先进的医疗技术水平

    0

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    2017-09-23 清风拂面

    很好的文章.学习受益匪浅

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    2017-09-23 清风拂面

    谢谢分享.学习了

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