CMEF现场丨AI赋能，康达发布“智速”磁共振系统

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                    <section data-role="paragraph" data-color="rgb(182, 228, 253)" data-custom="rgb(182, 228, 253)"><section><section><section><section powered-by="gulangu"><section><section><section><section powered-by="gulangu"><section><section><section><section powered-by="gulangu"><section><section><section><section powered-by="gulangu"><section><section><section><section><p><p><img src="image/20201014/86b79d371e9862b01189f0252a03b2cd_1.png" /></p></p></section><section><section><span><strong></strong></span></section><p><span>医疗器械媒体报道先锋</span></p><p><span>分享专业医疗器械知识</span></p></section><section><section><section><span>关注</span></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section></section><p><br  /></p><p><span>随着人工智能技术的发展，医疗健康产业正在进入智能医疗阶段，人工智能技术将全面应用和融入医疗健康全环节。医疗健康目前所应用的医疗设备，正在从信息化阶段走入智能化阶段，越来越多新兴医疗设备上应用了人工智能技术，为医疗健康产业带来诸多改变。</span></p><p><br  /></p><p><span>2019年9月29日，国家发改委、国家卫健委等21个部委联合发布<strong>《促进健康产业高质量发展行动纲要（2019—2022年）》</strong>，旨在贯彻落实全国卫生与健康大会和<strong>《“健康中国2030”规划纲要》部署</strong>，加快推动健康产业高质量发展。《纲要》明确指出：</span><strong><span>支持AI等前沿技术在医学影像辅助判读领域的应用</span></strong><span>，推动符合条件的AI产品进入临床试验，积极探索医疗资源薄弱地区、基层医疗机构应用人工智能辅助技术提高诊疗质量，促进实现分级诊疗。</span></p><p><br  /></p><p><span>国内知名的医学影像整体解决方案提供商——康达医疗通过引进、消化、吸收国内国外成熟的AI技术，结合多年来在超导磁共振领域积累的技术实力，于CMEF2019秋季展推出一款结合了AI系统的<strong>“智速”1.5T磁共振</strong>。</span></p><p><br  /></p><p><p><img src="image/20201014/82b7b0150348831c0ac5685bd8f42e9d_2.png" /></p></p><p><br  /></p><p><span>影像设备是影像数据产生的源头，直接决定着影像的质量，而影像质量又直接影响着医生的诊断和治疗。康达医疗把AI应用到了磁共振成像过程的全部流程，<strong>从扫描、图像重建，到筛查和诊断</strong>。</span></p><p><br  /></p><section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section></section></section><section><section><p><span><strong>1.智能化的头部自动定位技术</strong></span><strong></strong></p></section></section></section></section></section></section><section powered-by="gulangu"><section><section powered-by="gulangu"><p>据悉，康达“智速”磁共振采用AUTOPOST技术实现了智能化的头部自动定位，保证了不同患者、不同序列、不同时间检查体位的一致性，规避不同地区不同技师对头颅定位的差异。其中头颅五个序列扫描时间仅需4：30秒，头颅TOF MRA仅需2：50秒。</p><p><br  /></p><p><p><img src="image/20201014/ad5e7d83d3c7adba5a14c162ac7c79e0_3.png" /></p></p></section></section></section></section><p><br  /></p><section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section></section><section><p><span><strong>2.</strong><strong>智能化的图像后处理技术</strong></span><strong></strong></p></section></section></section></section></section></section><section powered-by="gulangu"><section><section powered-by="gulangu"><p><span>康达“智速”磁共振采用的智能化图像后处理技术无需人工干预，自动将重建序列传入MIP重建得到所需要的解剖图像。</span><span>在AI技术助力下，能完成五期动态增强，单期扫描时间仅需15秒。</span></p><p><br  /></p><p><br  /></p><p><p><img src="image/20201014/208fe98db18f3958aa29fee614b61e27_4.png" /></p></p></section></section></section></section><p><br  /></p><section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section></section></section><section><section><p><span><strong>3.脑小血管病医学影像AI辅助筛查系统</strong><strong></strong></span></p></section></section></section></section></section></section><section powered-by="gulangu"><section><section powered-by="gulangu"><p><span>脑小血管病造成了了全世界20%的卒中、45%的痴呆症、精神障碍和身体残疾，并使患者未来患卒中的风险增加2倍。脑小血管病是痴呆、认知功能减退的重要因素，对整个大脑的结构和功能都有影响。康达“智速”磁共振AI辅助的MR精准筛查脑小血管病仅需要15秒，对2-5mm病灶识别?感度达到96.3%。</span></p><p><br  /></p><p><p><img src="image/20201014/4fa7c848b379f3327cbab885e207d5a1_5.png" /></p></p></section></section></section></section><p><br  /></p><section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section></section><section><p><span><strong>4.缺血性脑卒中AI辅助诊断系统</strong><strong></strong></span></p></section></section></section></section></section></section><section powered-by="gulangu"><section><section powered-by="gulangu"><p><span>康达“智速”磁共振可以提供缺血型卒中类病变识别及定量、血供区域标定、分水岭区域解剖标定等辅助诊断功能。</span></p><p><br  /></p><p><p><img src="image/20201014/366d7c807a1f04a7ab2d6e44d8919126_6.png" /></p></p></section></section></section></section><p><br  /></p><section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section></section></section><section><section><p><span><strong>5.颅内肿瘤AI辅助诊断</strong></span></p></section></section></section></section></section></section><section powered-by="gulangu"><section><section powered-by="gulangu"><p><span>2018年6月，被中央电视台、新华社、人民网等媒体争相报道的“‘CHAIN’杯全球首次神经影像人工智能人机大赛”中，15名顶尖的神经影像医生与康达“智速”磁共振采用的颅内肿瘤影像AI相遇，总计225个脑肿瘤MRI影像判读，医生组15人每人15题，总计30分钟完成，与病理结果符合率66%；AI组15分钟完成225题，与病理结果符合率87%。</span></p><p><br  /></p><p><p><img src="image/20201014/4ec903d891ecc55256f7327141f5a970_7.png" /></p></p></section></section></section></section><p><br  /></p><section><section powered-by="gulangu"><section><section><section powered-by="gulangu"><section><section></section></section><section><section><p><span><strong>6.乳腺影像决策AI辅助诊断系统</strong><strong></strong></span></p></section></section></section></section></section></section><section powered-by="gulangu"><section><section powered-by="gulangu"><p><span>康达“智速”磁共振AI算法结合多模态、多参数诊断乳腺病灶，实现乳腺腺体分型和可疑病灶的检出，以及BI-RADS分级等功能，并同时生成机构化报告。</span></p><p><br  /></p><p><p><img src="image/20201014/ed47ca4cde870b58843b2c47a88161df_8.png" /></p></p></section></section></section></section><p><span><br  /></span></p><p><span>除了医学影像诊断设备领域的AI应用，康达医疗也在布局治疗设备领域的AI应用开发，康达医疗拟与清华大学、首都医科大学就“医用机器人”项目开展联合开发。</span><br  /></p><p><br  /></p><p><span>通过整合清华大学、首都医科大学等“产学研医”资源，康达医疗正在构建一个开放的医疗装备AI生态圈，让广大临床医生、科研工作者、AI公司集中到同一平台，共同参与AI的创新和应用。有消息称，</span><span>未来5年康达医疗计划在全国投资26亿元，与各地医疗机构合作共建100家“AI手术室”，致力于用AI技术提高诊疗质量，促进实现分级诊疗，惠及更多的患者。</span><span></span></p><p><span><br  /></span></p><p><p><img src="image/20201014/d7fba7e174e01b428518ee2a248c7369_9.png" /></p></p><p><span>人工智能在治疗设备领域的应用成果：</span><span>AI手术室</span><span></span></p><p><span><br  /></span></p><p><a data-miniprogram-appid="wxdc7efe409d688f37" data-miniprogram-path="pages/index/index" data-miniprogram-nickname="" href="" data-miniprogram-type="image" data-miniprogram-servicetype="" 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