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TWBG_Materials/核心资料汇总_MD/2024_陕西省第八届研究生创新成果奖申报书-《微创手术导航与记录平台》(A类成果)/2024_陕西省第八届研究生创新成果奖申报书-《微创手术导航与记录平台》(A类成果)_model.json
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"content": "<table><tr><td rowspan=\"3\"></td><td></td><td>生</td><td colspan=\"2\"></td><td></td></tr><tr><td>赵旭燕</td><td>硕士研究生</td><td colspan=\"2\">肿瘤学</td><td>18829586825</td></tr><tr><td>黄天笑</td><td>博士研究生</td><td colspan=\"2\">生物医学工程</td><td>15313710903</td></tr><tr><td rowspan=\"5\">指导教师信息</td><td>姓名</td><td>职称</td><td>职务</td><td>研究方向</td><td>联系方式</td></tr><tr><td>吕毅</td><td>教授</td><td>西安交通大学第一附属医院院长</td><td>肝移植外科与医工交叉</td><td>13991200581</td></tr><tr><td>王小华</td><td>教授</td><td>未来技术学院院长</td><td>电气工程</td><td>13946112059</td></tr><tr><td>吴荣谦</td><td>教授</td><td>精准外科与再生医学国家地方联合工程研究中心副主任</td><td>外科重症与医工交叉</td><td>18629053941</td></tr><tr><td>孙欣</td><td>副研究员</td><td>无</td><td>恶性肿瘤靶向治疗及肿瘤微环境的数字解析</td><td>18220572193</td></tr><tr><td>本成果主要获奖记录(前3项)</td><td colspan=\"5\">产业融合发展——新工科创新大赛全国总决赛一等奖(西北赛区第一名)中国移动创客马拉松大赛云算终端专题赛全国总决赛一等奖第六届智慧医疗创新大赛全国总决赛应用创新赛道二等奖(陕西省赛金奖第一名)</td></tr></table>"
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"content": "<table><tr><td>成果简介篇章结构、成果摘要限300字\n微创手术导航与记录平台致力为医院提供微创术中影像记录与分析导航服务通过“医+人工智能”深度融合,自主设计国产微创腔镜外科导航体系。\n构建集术前病灶精准定位导航及路径规划、术中XR实时三维导航、术后图文手术记录生成一体的手术导航及配套人才培养体系服务患者千余人有效提高手术患者的远期生存率与生活质量。以数字化、信息化、智能化赋能外科诊疗促进创新链和产业链融合。\n共发表学术论文16篇会议论文8篇参编2项专家共识影响因子最高41.4,受中国教育报头版头条专访,受邀于美国外科医师年会与国际医疗器械博览会报告。\n产教融合驱动创新。目前项目已入驻苏州太仓创业园获50w政府资金支持。\n与联影公司签署3000万合作协议。</td></tr><tr><td>成果内容提要主要观点、创新点、实践意义、应用前景等限2000字可附页\n一、主要观点\n作为医疗服务最核心的环节临床诊疗信息化对医疗体系整体改革具有重大建设意义。但临床信息化技术门槛相对较高如何在保证数据可获取、安全的条件下对临床数据挖掘与分析并借助信息化手段提高临床诊断与决策的有效性与准确性减小临床外科医生工作负担是临床医疗信息化、临床科研发展的重中之重。\n智能外科机要助理是一个微创临床术中影像记录与分析系统分别针对微创临床术中影像记录、微创临床术中影像识别辅助、微创术后图文病例生成为术中数据获取与分析提供有力保障。项目目前拥有“云链微创术中影像记录模块”、“云链术后图文报告生成模块”、“云链术中影像数据分析模块”三大核心服务。具体通过“云链影像记录传输仪”、“云链院内PACS兼容部署方案”、“云链医疗影像云训练系统”、“云链院内边缘AI加速节点部署方案”四大核心方案进行实现以构建术中医疗数据资产获取、挖掘、应用的全流程服务旨在以术中数据驱动减轻医生术中负担、提高手术患者的远期生存率与生活质量、提升医患信任度、加速临床医生培养。\n二、创新点\n1.云链微创术中影像记录模块创新点在于:\n 设备兼容产品的设备输出可以适配主流硬镜设备满足不同要求输出格式也为标准DICOM格式。\n 动态传输:影像视频采用分片式储存与传输,使用内置弹性存储器,实现完整术中医疗影像的稳定传输。\n 高性能传输模块设备对采集到的影像视频通过内置的视频处理模块降低传输码率可以在低于2Mbps的网络环境下实现4K高清数字图像传送。\n RTN网络传输使用的RTN网络可以将网络延迟控制在300ms以内配合H.265视频编码标准,压缩效率高、鲁棒性和错误恢复能力高、时延低、复杂度低,满足</td></tr></table>"
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