admin/TWBG_Materials
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity
Files
93e50e8fceaa2ef879e68b0d9eaf30228428156b
TWBG_Materials/核心资料汇总_MD/BP-2024_第六届“创业齐鲁·共赢未来”高层次人才创业创业大赛-云链智康-彭子洋/BP-2024_第六届“创业齐鲁·共赢未来”高层次人才创业创业大赛-云链智康-彭子洋_model.json
admin 93e50e8fce backup materials and knowledge-base docs
2026-05-30 16:22:29 +08:00

4480 lines
119 KiB
JSON
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
[
[
{
"type": "title",
"bbox": [
0.197,
0.192,
0.797,
0.224
],
"angle": 0,
"content": null
},
{
"type": "title",
"bbox": [
0.445,
0.228,
0.558,
0.259
],
"angle": 0,
"content": null
},
{
"type": "text",
"bbox": [
0.415,
0.271,
0.583,
0.293
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.194,
0.434,
0.86,
0.459
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.194,
0.469,
0.86,
0.495
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.195,
0.506,
0.86,
0.529
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.195,
0.542,
0.86,
0.564
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.195,
0.578,
0.86,
0.601
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.194,
0.613,
0.859,
0.636
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.25,
0.752,
0.75,
0.774
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "page_number",
"bbox": [
0.494,
0.915,
0.504,
0.926
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.193,
0.191,
0.802,
0.228
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.439,
0.225,
0.562,
0.263
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.414,
0.27,
0.587,
0.293
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.195,
0.434,
0.333,
0.458
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.445,
0.432,
0.539,
0.46
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.19,
0.468,
0.319,
0.496
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.444,
0.469,
0.538,
0.495
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.193,
0.505,
0.337,
0.53
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.423,
0.508,
0.584,
0.528
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.193,
0.54,
0.336,
0.566
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.424,
0.543,
0.576,
0.563
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.193,
0.576,
0.339,
0.602
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.407,
0.579,
0.707,
0.602
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.192,
0.612,
0.32,
0.637
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.448,
0.612,
0.617,
0.637
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.252,
0.751,
0.75,
0.775
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.495,
0.917,
0.505,
0.928
],
"text": "",
"score": 1.0
}
],
[
{
"type": "title",
"bbox": [
0.421,
0.131,
0.577,
0.162
],
"angle": 0,
"content": null
},
{
"type": "text",
"bbox": [
0.139,
0.205,
0.859,
0.297
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.138,
0.305,
0.858,
0.364
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.138,
0.372,
0.858,
0.43
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.189,
0.438,
0.835,
0.462
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.138,
0.472,
0.858,
0.529
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.138,
0.538,
0.858,
0.595
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.19,
0.605,
0.855,
0.628
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.139,
0.638,
0.858,
0.696
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "list",
"bbox": [
0.138,
0.205,
0.859,
0.696
],
"angle": 0,
"content": null
},
{
"type": "page_number",
"bbox": [
0.494,
0.916,
0.506,
0.928
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.42,
0.129,
0.58,
0.165
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.189,
0.436,
0.826,
0.463
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.194,
0.605,
0.857,
0.627
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.493,
0.916,
0.506,
0.93
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.197,
0.206,
0.845,
0.227
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.151,
0.239,
0.858,
0.261
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.142,
0.273,
0.699,
0.294
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.192,
0.304,
0.859,
0.328
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.141,
0.339,
0.797,
0.361
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.189,
0.371,
0.859,
0.395
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.141,
0.405,
0.802,
0.427
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.189,
0.471,
0.859,
0.495
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.141,
0.505,
0.638,
0.527
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.192,
0.537,
0.857,
0.561
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.141,
0.572,
0.478,
0.593
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.193,
0.637,
0.858,
0.661
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.141,
0.671,
0.799,
0.694
],
"text": "",
"score": 1.0
}
],
[
{
"type": "title",
"bbox": [
0.14,
0.125,
0.36,
0.147
],
"angle": 0,
"content": null
},
{
"type": "table",
"bbox": [
0.099,
0.152,
0.9,
0.882
],
"angle": 0,
"content": "<table><tr><td colspan=\"6\">1.1基本信息</td></tr><tr><td>*项目名称</td><td colspan=\"5\">云链智康-智能外科向临床盲点进军</td></tr><tr><td rowspan=\"2\">*姓名</td><td>中文</td><td colspan=\"3\">彭子洋</td><td rowspan=\"2\"></td></tr><tr><td>外文</td><td colspan=\"3\">仅外国国籍人选填写,请填写护照英文名字</td></tr><tr><td>*性别</td><td colspan=\"2\">男</td><td>*出生日期</td><td colspan=\"2\">1996年2月7日</td></tr><tr><td>*民族</td><td colspan=\"2\">汉</td><td>*国籍</td><td colspan=\"2\">中国</td></tr><tr><td>*政治面貌</td><td colspan=\"2\">共青团员</td><td>*证件类型</td><td colspan=\"2\">身份证</td></tr><tr><td>*证件号码</td><td colspan=\"2\">610302199602070510</td><td>*证明材料</td><td colspan=\"2\">(请提供身份证正反面扫描件附件)</td></tr><tr><td>*最高学历</td><td colspan=\"2\">博士研究生在读</td><td>*最高学位</td><td colspan=\"2\">硕士研究生</td></tr><tr><td>专业技术职称</td><td colspan=\"2\">无</td><td>证明材料</td><td colspan=\"2\"></td></tr><tr><td>全职工作单位</td><td colspan=\"2\">西安交通大学</td><td>全职工作单位职务</td><td colspan=\"2\">学生</td></tr><tr><td>推荐机构名称</td><td colspan=\"2\">西安交通大学第一附属医院</td><td>推荐证明材料</td><td colspan=\"2\"></td></tr><tr><td>*移动电话</td><td colspan=\"2\">17809212035</td><td>*电子邮箱</td><td colspan=\"2\">p1061201104@xjtu.edu.cn</td></tr><tr><td>拟创业方式</td><td colspan=\"2\">全职创业</td><td>创业方式证明材料</td><td colspan=\"2\">上传(仅兼职创业人选上传“与人选人事关系所在单位同意兼职创业同意函(需要加盖单位法人章))</td></tr><tr><td>每年实际在岗工作时间</td><td colspan=\"2\">**个月(仅兼职人选填写)</td><td>*人选来源</td><td colspan=\"2\">省外</td></tr><tr><td>*申报行业</td><td colspan=\"2\">数字化医养健康、新一代信息技术</td><td>*领域方向</td><td colspan=\"2\">医疗器械</td></tr><tr><td>*是否为重点支持领域</td><td colspan=\"2\">是</td><td>*重点领域方向</td><td colspan=\"2\">数字化智能临床诊疗器械开发</td></tr><tr><td>*研究方向一</td><td colspan=\"2\">术中病灶精准定位与识别导航技术</td><td>*研究方向描述</td><td colspan=\"2\">术中有效明确手术切除部位,评估脉管结构周围组织相对位置,为医生做到手术预警指示,打造数字化精准外科。</td></tr></table>"
},
{
"type": "page_number",
"bbox": [
0.495,
0.917,
0.504,
0.927
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.494,
0.917,
0.505,
0.929
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.141,
0.124,
0.361,
0.149
],
"text": "",
"score": 1.0
}
],
[
{
"type": "table",
"bbox": [
0.1,
0.116,
0.899,
0.882
],
"angle": 0,
"content": "<table><tr><td colspan=\"2\">*研究方向二</td><td colspan=\"3\">多模态外科患者数字化诊疗体系</td><td colspan=\"2\">*研究方向描述</td><td colspan=\"3\">对临床队列影像、病理数据挖掘与分析,借助信息化手段提高临床决策的有效性与准确性,提高外科医生工作效率</td></tr><tr><td colspan=\"2\">*研究方向三</td><td colspan=\"3\">声光电磁医工结合肿瘤诊疗一体化</td><td colspan=\"2\">*研究方向描述</td><td colspan=\"3\">瞄准医学装备研发、技术创新,聚焦于磁场生物学效应、磁性生物医用材料和磁医疗设备研发及其临床应用研究。</td></tr><tr><td colspan=\"10\">1.1.1 专业资质(请填写体现个人学术和技术水平、能力的专业资质证书,涉及海外的单位及职务须同时加注英文,证明材料须一并上传专业翻译机构翻译件。按重要性依次填写,限填5项)如无可不填写</td></tr><tr><td>*专业资质名称</td><td colspan=\"2\">获得时间</td><td colspan=\"2\">证书名称</td><td>认证机构</td><td colspan=\"2\">持有人排序(个人排序/总人数)</td><td>证书有效期</td><td>证明材料</td></tr><tr><td>医师资格证</td><td colspan=\"2\">2020.9</td><td colspan=\"2\">执业医师资格证</td><td>陕西省卫生健康委员会</td><td colspan=\"2\">1</td><td>长期</td><td></td></tr><tr><td>医师执业证书</td><td colspan=\"2\">2020.9</td><td colspan=\"2\">医师执业证书</td><td>陕西省卫生健康委员会</td><td colspan=\"2\">1</td><td>长期</td><td></td></tr><tr><td>住院医师</td><td colspan=\"2\">23.8</td><td colspan=\"2\">住院医师规范化培训证书</td><td>陕西省卫生健康委员会</td><td colspan=\"2\">1</td><td>长期</td><td></td></tr><tr><td>创新创业实践(中级)</td><td colspan=\"2\">23.8</td><td colspan=\"2\">工信部创新创业实践中级</td><td>工信部</td><td colspan=\"2\">1</td><td>长期</td><td></td></tr><tr><td></td><td colspan=\"2\"></td><td colspan=\"2\"></td><td></td><td colspan=\"2\"></td><td></td><td></td></tr><tr><td colspan=\"10\">*1.1.2 教育经历(从本科经历起,按时间顺序填写,海外教育经历须同时加注英文,最高学历、学位须上传证明材料。海外证明材料须一并上传专业翻译机构翻译件)</td></tr><tr><td>*起始时间</td><td colspan=\"2\">结束时间</td><td>学校</td><td>专业</td><td>地点</td><td>学历</td><td>学位</td><td>毕(结、肄)业</td><td>证明材料</td></tr><tr><td>2015.09</td><td colspan=\"2\">2019.06</td><td>西安交通大学</td><td>临床医学</td><td>陕西西安</td><td>本科</td><td>学士</td><td>已毕业</td><td></td></tr><tr><td>2019.09</td><td colspan=\"2\">2022.06</td><td>西安交通大学</td><td>肿瘤学</td><td>陕西西安</td><td>硕士</td><td>硕士研究生</td><td>已毕业</td><td></td></tr><tr><td>2022.09</td><td colspan=\"2\">2024.06</td><td>西安交通大学</td><td>临床医学</td><td>陕西西安</td><td>博士</td><td>博士研究生</td><td>在读</td><td></td></tr></table>"
},
{
"type": "page_number",
"bbox": [
0.494,
0.917,
0.505,
0.927
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.493,
0.916,
0.507,
0.93
],
"text": "",
"score": 1.0
}
],
[
{
"type": "table",
"bbox": [
0.099,
0.116,
0.899,
0.884
],
"angle": 0,
"content": "<table><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td colspan=\"10\">*1.1.3 工作经历\n(从专职工作经历起,按时间顺序填写并保持连续(不得出现空档,某一时间段如未工作,请如实写明),工作时间需写到现在,兼职工作经历请在备注中标明。涉及海外的单位及职务须同时加注英文,证明材料须一并上传专业翻译机构翻译件)</td></tr><tr><td>*起始时间</td><td>结束时间</td><td colspan=\"2\">地点</td><td colspan=\"2\">工作单位</td><td colspan=\"2\">工作部门</td><td>职务</td><td>证明材料</td></tr><tr><td>2019.9</td><td>2022.7</td><td colspan=\"2\">西安交通大学医学院第一附属医院</td><td colspan=\"2\">西安交通大学医学院第一附属医院</td><td colspan=\"2\">外科学系/肿瘤学系</td><td>住院医师</td><td></td></tr><tr><td></td><td></td><td colspan=\"2\"></td><td colspan=\"2\"></td><td colspan=\"2\"></td><td></td><td></td></tr><tr><td></td><td></td><td colspan=\"2\"></td><td colspan=\"2\"></td><td colspan=\"2\"></td><td></td><td></td></tr><tr><td></td><td></td><td colspan=\"2\"></td><td colspan=\"2\"></td><td colspan=\"2\"></td><td></td><td></td></tr><tr><td></td><td></td><td colspan=\"2\"></td><td colspan=\"2\"></td><td colspan=\"2\"></td><td></td><td></td></tr><tr><td colspan=\"10\">1.2 技术创新业绩、能力情况</td></tr><tr><td colspan=\"10\">1.2.1 个人业绩情况</td></tr><tr><td colspan=\"10\">代表性成果:\n 本人以第一作者发表SCI6篇,会议论文8篇,参编2项专家共识,论文发表于行业顶级期刊Molecular Cancer、Annals of Medicine等杂志,单篇影响因子最高41.4。本人参与多项重要课题,包括十余项国家级、省部级基金项目,主持一项中央高校基本科研业务费,并作为子课题负责人协助建立肿瘤类器官平台及生物样本库。成果受到中国教育报头版头条专访,并受邀于美国外科医师年会与国际医疗器械博览会报告。构建集术前病灶精准定位导航及路径规划、微创术中XR实时三维导航、术后图文手术记录生成于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发展,促进创新链和产业链融合。并获评2023西安交通大学研究生标兵(西安交通大学学生最高荣誉,每年医学专业仅1人),并获国家奖学金、中国移动奖学金金特等奖(全校综合排名第一)、首届产教融合之星(全校仅十人)、学术之星(西安交通大学博士生学术最高荣誉、每年医学专业仅1人)、陕西省大学生自强之星标兵(全省仅10人)、中国大学生自强之星等多项表彰。\n 承担项目情况:\n 一、国家级课题</td></tr></table>"
},
{
"type": "page_number",
"bbox": [
0.494,
0.916,
0.505,
0.927
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.493,
0.916,
0.506,
0.929
],
"text": "",
"score": 1.0
}
],
[
{
"type": "text",
"bbox": [
0.143,
0.119,
0.816,
0.136
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.143,
0.138,
0.65,
0.154
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.143,
0.157,
0.65,
0.172
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "list",
"bbox": [
0.143,
0.119,
0.816,
0.172
],
"angle": 0,
"content": null
},
{
"type": "text",
"bbox": [
0.148,
0.175,
0.812,
0.19
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.143,
0.194,
0.498,
0.209
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.117,
0.212,
0.845,
0.246
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.142,
0.249,
0.742,
0.265
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.142,
0.268,
0.737,
0.283
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "list",
"bbox": [
0.117,
0.212,
0.845,
0.283
],
"angle": 0,
"content": null
},
{
"type": "text",
"bbox": [
0.108,
0.286,
0.888,
0.32
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "title",
"bbox": [
0.144,
0.323,
0.272,
0.338
],
"angle": 0,
"content": null
},
{
"type": "text",
"bbox": [
0.143,
0.341,
0.658,
0.357
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.143,
0.36,
0.705,
0.376
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.143,
0.379,
0.631,
0.394
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.109,
0.397,
0.888,
0.431
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.142,
0.434,
0.806,
0.45
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.142,
0.453,
0.731,
0.468
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.143,
0.472,
0.793,
0.487
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "list",
"bbox": [
0.109,
0.341,
0.888,
0.487
],
"angle": 0,
"content": null
},
{
"type": "title",
"bbox": [
0.145,
0.49,
0.272,
0.505
],
"angle": 0,
"content": null
},
{
"type": "text",
"bbox": [
0.143,
0.509,
0.798,
0.524
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.108,
0.527,
0.888,
0.561
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.142,
0.564,
0.843,
0.599
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.143,
0.602,
0.393,
0.617
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.143,
0.62,
0.578,
0.635
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "list",
"bbox": [
0.108,
0.509,
0.888,
0.635
],
"angle": 0,
"content": null
},
{
"type": "title",
"bbox": [
0.145,
0.639,
0.343,
0.653
],
"angle": 0,
"content": null
},
{
"type": "text",
"bbox": [
0.143,
0.657,
0.816,
0.672
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.143,
0.675,
0.739,
0.69
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.142,
0.694,
0.89,
0.71
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "list",
"bbox": [
0.142,
0.657,
0.89,
0.71
],
"angle": 0,
"content": null
},
{
"type": "title",
"bbox": [
0.144,
0.713,
0.26,
0.728
],
"angle": 0,
"content": null
},
{
"type": "text",
"bbox": [
0.109,
0.731,
0.853,
0.784
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.108,
0.787,
0.877,
0.822
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.108,
0.824,
0.89,
0.877
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.107,
0.88,
0.858,
0.896
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "list",
"bbox": [
0.107,
0.731,
0.89,
0.896
],
"angle": 0,
"content": null
},
{
"type": "page_number",
"bbox": [
0.494,
0.917,
0.505,
0.927
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.25,
0.742,
0.264
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.146,
0.324,
0.271,
0.338
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.147,
0.491,
0.271,
0.506
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.145,
0.712,
0.264,
0.729
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.118,
0.818,
0.136
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.15,
0.174,
0.813,
0.19
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.434,
0.809,
0.45
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.471,
0.796,
0.487
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.508,
0.799,
0.524
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.656,
0.819,
0.673
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.146,
0.139,
0.65,
0.153
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.158,
0.65,
0.171
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.145,
0.342,
0.66,
0.358
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.38,
0.632,
0.395
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.493,
0.916,
0.507,
0.929
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.141,
0.731,
0.855,
0.749
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.75,
0.828,
0.766
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.768,
0.527,
0.784
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.195,
0.501,
0.209
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.145,
0.213,
0.844,
0.227
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.118,
0.232,
0.229,
0.246
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.146,
0.696,
0.889,
0.708
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.114,
0.885,
0.123,
0.89
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.138,
0.879,
0.861,
0.897
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.268,
0.739,
0.283
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.361,
0.707,
0.376
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.452,
0.734,
0.468
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.675,
0.739,
0.691
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.287,
0.889,
0.301
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.109,
0.304,
0.281,
0.322
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.398,
0.889,
0.413
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.111,
0.416,
0.281,
0.433
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.528,
0.889,
0.543
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.109,
0.547,
0.242,
0.56
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.142,
0.787,
0.878,
0.805
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.142,
0.805,
0.712,
0.822
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.146,
0.566,
0.842,
0.578
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.145,
0.584,
0.677,
0.598
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.603,
0.393,
0.617
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.145,
0.621,
0.58,
0.634
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.148,
0.64,
0.341,
0.653
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.115,
0.829,
0.123,
0.835
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.142,
0.823,
0.83,
0.843
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.843,
0.892,
0.86
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.862,
0.245,
0.878
],
"text": "",
"score": 1.0
}
],
[
{
"type": "text",
"bbox": [
0.142,
0.12,
0.86,
0.154
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.109,
0.157,
0.889,
0.209
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.109,
0.213,
0.817,
0.247
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.109,
0.25,
0.863,
0.284
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.109,
0.287,
0.885,
0.321
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.109,
0.324,
0.881,
0.357
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.109,
0.361,
0.88,
0.377
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.109,
0.379,
0.889,
0.413
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.109,
0.416,
0.883,
0.45
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.109,
0.453,
0.841,
0.488
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.109,
0.491,
0.831,
0.524
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "list",
"bbox": [
0.109,
0.157,
0.889,
0.524
],
"angle": 0,
"content": null
},
{
"type": "title",
"bbox": [
0.145,
0.527,
0.26,
0.543
],
"angle": 0,
"content": null
},
{
"type": "title",
"bbox": [
0.145,
0.546,
0.26,
0.561
],
"angle": 0,
"content": null
},
{
"type": "text",
"bbox": [
0.144,
0.564,
0.781,
0.58
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.144,
0.583,
0.817,
0.598
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.144,
0.601,
0.526,
0.617
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "list",
"bbox": [
0.144,
0.564,
0.817,
0.617
],
"angle": 0,
"content": null
},
{
"type": "title",
"bbox": [
0.145,
0.62,
0.312,
0.635
],
"angle": 0,
"content": null
},
{
"type": "text",
"bbox": [
0.144,
0.639,
0.429,
0.654
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.144,
0.657,
0.464,
0.672
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.144,
0.675,
0.588,
0.69
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.144,
0.694,
0.764,
0.71
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.144,
0.713,
0.649,
0.728
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.144,
0.731,
0.57,
0.746
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.144,
0.75,
0.482,
0.765
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "list",
"bbox": [
0.144,
0.639,
0.764,
0.765
],
"angle": 0,
"content": null
},
{
"type": "title",
"bbox": [
0.145,
0.768,
0.312,
0.783
],
"angle": 0,
"content": null
},
{
"type": "text",
"bbox": [
0.144,
0.786,
0.503,
0.801
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.144,
0.805,
0.482,
0.82
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.144,
0.824,
0.412,
0.839
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.144,
0.842,
0.508,
0.857
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.109,
0.861,
0.888,
0.895
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "list",
"bbox": [
0.109,
0.786,
0.888,
0.895
],
"angle": 0,
"content": null
},
{
"type": "page_number",
"bbox": [
0.494,
0.916,
0.504,
0.926
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.693,
0.766,
0.711
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.527,
0.263,
0.543
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.146,
0.546,
0.262,
0.562
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.148,
0.621,
0.314,
0.635
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.148,
0.769,
0.315,
0.784
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.145,
0.565,
0.783,
0.579
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.584,
0.818,
0.598
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.713,
0.651,
0.728
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.493,
0.916,
0.507,
0.929
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.145,
0.751,
0.482,
0.764
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.145,
0.787,
0.504,
0.802
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.806,
0.483,
0.821
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.145,
0.844,
0.509,
0.857
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.119,
0.86,
0.137
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.138,
0.317,
0.156
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.453,
0.823,
0.471
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.472,
0.842,
0.49
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.142,
0.489,
0.833,
0.507
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.509,
0.291,
0.524
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.141,
0.25,
0.865,
0.268
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.268,
0.497,
0.286
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.286,
0.886,
0.304
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.306,
0.639,
0.322
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.141,
0.324,
0.883,
0.341
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.342,
0.618,
0.358
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.138,
0.36,
0.883,
0.378
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.14,
0.379,
0.891,
0.396
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.146,
0.397,
0.377,
0.413
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.141,
0.417,
0.885,
0.431
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.433,
0.202,
0.45
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.145,
0.863,
0.89,
0.875
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.111,
0.88,
0.307,
0.894
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.114,
0.217,
0.122,
0.223
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.213,
0.816,
0.231
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.231,
0.708,
0.247
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.145,
0.639,
0.43,
0.654
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.824,
0.412,
0.839
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.732,
0.571,
0.746
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.158,
0.889,
0.173
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.177,
0.889,
0.192
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.143,
0.194,
0.259,
0.211
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.602,
0.527,
0.617
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.658,
0.464,
0.672
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.144,
0.676,
0.588,
0.691
],
"text": "",
"score": 1.0
}
],
[
{
"type": "table",
"bbox": [
0.1,
0.116,
0.902,
0.888
],
"angle": 0,
"content": "<table><tr><td colspan=\"6\">四、校级奖项7项\n1.第九届互联网+创新创业大赛校赛金奖\n2.西安交通大学第三十四届“腾飞杯”创新创业大赛创业赛道金奖\n3.西安交通大学第三十四届“腾飞杯”创新创业大赛创新赛道特等奖（综合成绩全校第一）\n4.第十三届全国大学生电子商务“创新、创意及创业”挑战赛西安交通大学校级赛一等奖、最佳创新奖、最佳创意奖、最佳创业奖</td></tr><tr><td colspan=\"6\">*1.2.2代表性成果（2019年以来）\n（代表性成果包括项目、奖励、论文、专利等，须上传证明材料，不超过3项）</td></tr><tr><td>序号</td><td>成果名称</td><td>成果类型</td><td>获得年度</td><td>有关情况说明</td><td>证明材料</td></tr><tr><td>1</td><td>Ziyang Peng, et al.,Enhancement of TKI sensitivity in lung adenocarcinoma through m6A-dependent translational repression of Wnt signaling by circ-FBXW 7</td><td>论文</td><td>2023</td><td>共同第一作者</td><td>需上传附件</td></tr><tr><td>2</td><td>西安交通大学优秀研究生标兵</td><td>奖励</td><td>2023-2024</td><td>西安交通大学学生最高荣誉</td><td></td></tr><tr><td>3</td><td>“智能化数字体系赋能临床外科诊疗平台”获评2023第二届医学人工智能创新创业大赛科</td><td>主持项目</td><td>2023</td><td></td><td></td></tr></table>"
},
{
"type": "page_number",
"bbox": [
0.494,
0.917,
0.506,
0.927
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.494,
0.916,
0.507,
0.93
],
"text": "",
"score": 1.0
}
],
[
{
"type": "table",
"bbox": [
0.099,
0.115,
0.9,
0.877
],
"angle": 0,
"content": "<table><tr><td colspan=\"2\"></td><td colspan=\"2\">研组创新项目</td><td colspan=\"2\"></td><td colspan=\"2\"></td><td colspan=\"2\"></td><td colspan=\"2\"></td></tr><tr><td colspan=\"12\">1.2.3 承担项目情况(2019年以来)(按重要性降序填写,并上传证明材料,不超过5项) 如无可不填写</td></tr><tr><td>研究方向</td><td>起始时间</td><td>结束时间</td><td colspan=\"2\">项目课题名称</td><td colspan=\"2\">类别</td><td>下达(立项)单位</td><td>项目经费</td><td colspan=\"2\">本人位次</td><td>证明材料</td></tr><tr><td>微创化手术智能导航</td><td>2023-01</td><td>2024-12</td><td colspan=\"2\">微创化手术智能导航平台建设</td><td colspan=\"2\">中央高校基础科研-自由探索与创新学生类</td><td>西安交通大学</td><td>3万元</td><td colspan=\"2\">1</td><td></td></tr><tr><td>稳态磁场生物学效应</td><td>2024-4</td><td>2025-4</td><td colspan=\"2\">稳态磁场调控肿瘤免疫微环境抑制肝癌转移</td><td colspan=\"2\">西安交通大学未来技术太湖创新基金</td><td>西安交通大学未来技术学院</td><td>10万元</td><td colspan=\"2\">2(导师第一)</td><td></td></tr><tr><td>数字诊疗装</td><td>2018-08</td><td>2021-06</td><td colspan=\"2\">“数字诊疗装备研发”重点专项</td><td colspan=\"2\">科技部国家重点研发计划</td><td>科技部</td><td>438万元</td><td colspan=\"2\">7</td><td></td></tr><tr><td>磁导航机器人</td><td>2021-01</td><td>2024-12</td><td colspan=\"2\">磁导气管插管机器人关键技术研究</td><td colspan=\"2\">国家自然科学基金重大研究计划</td><td>国家自然科学基金委</td><td>240万元</td><td colspan=\"2\">6</td><td></td></tr><tr><td>磁外科基础研究</td><td>2020-06</td><td>2023-05</td><td colspan=\"2\">磁外科基础研究与临床转化创新团队</td><td colspan=\"2\">陕西省创新能力支撑计划项目、陕西省共性技术平台项目</td><td>陕西省科技厅</td><td>200万元</td><td colspan=\"2\">8</td><td></td></tr><tr><td colspan=\"12\">*1.2.4 发表论文(论著)情况(2019年以来)(按重要性降序填写,并上传证明材料,不超过5项)</td></tr><tr><td>研究方向</td><td>发表时间</td><td colspan=\"2\">论文(著作)名称</td><td colspan=\"2\">发表刊物(出版社)</td><td colspan=\"2\">本人排序(排序/总人数)</td><td colspan=\"2\">是否为通讯作者</td><td>收录情况</td><td>证明材料</td></tr></table>"
},
{
"type": "page_number",
"bbox": [
0.494,
0.915,
0.506,
0.927
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.494,
0.917,
0.505,
0.929
],
"text": "",
"score": 1.0
}
],
[
{
"type": "table",
"bbox": [
0.101,
0.115,
0.898,
0.88
],
"angle": 0,
"content": "<table><tr><td></td><td>2023</td><td>Enhancement of TKI sensitivity in lung adenocarcino ma through m6A-depend ent translational repression of Wnt signaling by circ-FBXW7</td><td>Mol Cancer</td><td>2/9</td><td>否</td><td>已收 录</td><td>需上传附 件</td></tr><tr><td></td><td>2022</td><td>Stem signatures associating SOX2 antibody helps to define diagnosis and prognosis prediction with esophageal cancer</td><td>Ann Med</td><td>1/10</td><td>否</td><td>已收 录</td><td></td></tr><tr><td></td><td>2023</td><td>Ziyang Peng, et al.,Intelligent Surgical Confidential Assistant Helps Precise Magnetic Assisted Vascular Anastomosis</td><td>AMERICAN COLLEGEOF SURGEONS</td><td>1/11</td><td>否</td><td>已收 录</td><td></td></tr><tr><td></td><td>2023</td><td>Ziyang Peng, et al.,Application Of Computer</td><td>AMERICAN COLLEGEOF SURGEONS</td><td>1/11</td><td>否</td><td>已收 录</td><td></td></tr></table>"
},
{
"type": "page_number",
"bbox": [
0.495,
0.917,
0.504,
0.927
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.493,
0.916,
0.507,
0.929
],
"text": "",
"score": 1.0
}
],
[
{
"type": "table",
"bbox": [
0.1,
0.115,
0.899,
0.896
],
"angle": 0,
"content": "<table><tr><td></td><td></td><td>Intelligent\nSurgical\nConfidential\nAssistant In\nLaparoscopic\nLiver\nResection</td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td>2023</td><td>Ziyang Peng, et al., Intelligent Surgery Enters the BlindSpot of Lumpectomy Liver Resection</td><td>China Medical Artificial Intelligence Conference</td><td colspan=\"2\">1/8</td><td colspan=\"2\">否</td><td>已收录</td></tr><tr><td colspan=\"9\">1.2.5 获得奖励情况（2019年以来）\n（按重要性降序填写，并上传证明材料，不超过5项）如无可不填写</td></tr><tr><td>研究方向</td><td>获奖时间</td><td>奖励名称</td><td>奖励类型</td><td>等级</td><td colspan=\"2\">获奖排序(排序/总人数)</td><td>授予部门(单位)</td><td>证明材料</td></tr><tr><td>医疗器械</td><td>2023.8</td><td>新工科创新大赛全国总决赛一等奖</td><td>创新创业奖</td><td>一等奖</td><td colspan=\"2\">2/6</td><td>工业和信息化部工业化发展中心</td><td>需上传附件</td></tr><tr><td>医疗器械</td><td>2023.9</td><td>第六届智慧医疗创新大赛总决赛二等奖</td><td>创新创业奖</td><td>二等奖</td><td colspan=\"2\">1/15</td><td>智慧医疗创就大赛组委会</td><td></td></tr><tr><td>医疗器械</td><td>2023.9</td><td>“华为杯”第五届中国研究生人工智能创新大赛二等奖</td><td>创新创业奖</td><td>二等奖</td><td colspan=\"2\">2/4</td><td>中国学位与研究生教甫学会、中国科协青少年科技中心、山西大学</td><td></td></tr><tr><td>医疗器械</td><td>2023.8</td><td>第十三届全国大学生电子商务“创新、创意及创</td><td>创新创业奖</td><td>二等奖</td><td colspan=\"2\">1/5</td><td>全国大学生电子商务“创新、创意及创业”竞赛组织委员会</td><td></td></tr></table>"
},
{
"type": "page_number",
"bbox": [
0.494,
0.916,
0.505,
0.926
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.494,
0.917,
0.505,
0.929
],
"text": "",
"score": 1.0
}
],
[
{
"type": "table",
"bbox": [
0.1,
0.115,
0.899,
0.877
],
"angle": 0,
"content": "<table><tr><td></td><td colspan=\"2\"></td><td>业”挑战赛全国总决赛二等奖</td><td></td><td></td><td colspan=\"2\"></td><td colspan=\"2\"></td><td></td></tr><tr><td></td><td colspan=\"2\"></td><td>西安交通大学博士优秀研究生标兵</td><td>校级最高荣誉</td><td></td><td colspan=\"2\">1</td><td colspan=\"2\">西安交通大学</td><td></td></tr><tr><td colspan=\"11\">1.2.6 授权专利情况（2019年以来）\n（按重要性降序填写，并上传相关材料，不超过5项）如无可不填写</td></tr><tr><td>研究方向</td><td>授权时间</td><td>专利名称</td><td>类别</td><td>批准国家地区</td><td>专利权人</td><td>专利人排序(排序/总人数)</td><td>是否转化</td><td>转化金额</td><td colspan=\"2\">相关材料</td></tr><tr><td>医疗器械</td><td>2020</td><td>一种磁控腹腔镜手术内置抓钳离合的磁锚定系统</td><td>发明专利</td><td>中国</td><td>吕毅、彭子洋</td><td>2</td><td>否</td><td></td><td colspan=\"2\">需上传附件</td></tr><tr><td>医疗器械</td><td>2021</td><td>一种高位胆肠磁性吻合装置</td><td>发明专利</td><td>中国</td><td>吕毅、彭子洋</td><td>2</td><td>否</td><td></td><td colspan=\"2\"></td></tr><tr><td>医疗器械</td><td>2023</td><td>微创术中影像语义分割模型训练方法及装置</td><td>发明专利</td><td>中国</td><td>彭子洋</td><td>1</td><td>否</td><td></td><td colspan=\"2\"></td></tr><tr><td>医疗器械</td><td>2023</td><td>图像语义分割模型训练方法、图像语义分割方法及装置</td><td>发明专利</td><td>中国</td><td>彭子洋</td><td>1</td><td>否</td><td></td><td colspan=\"2\"></td></tr></table>"
},
{
"type": "page_number",
"bbox": [
0.492,
0.917,
0.508,
0.927
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.49,
0.915,
0.511,
0.932
],
"text": "",
"score": 1.0
}
],
[
{
"type": "table",
"bbox": [
0.1,
0.115,
0.9,
0.478
],
"angle": 0,
"content": "<table><tr><td>医疗器械</td><td>2023</td><td>微创手术中影像区域识别模型的培训方法、区域提取方法及设备</td><td>发明专利</td><td>中国</td><td>彭子洋</td><td>1</td><td>否</td><td></td><td></td></tr><tr><td colspan=\"10\">1.2.7 竞业禁止协议</td></tr><tr><td colspan=\"10\">无</td></tr></table>"
},
{
"type": "title",
"bbox": [
0.14,
0.484,
0.304,
0.506
],
"angle": 0,
"content": null
},
{
"type": "title",
"bbox": [
0.448,
0.524,
0.57,
0.542
],
"angle": 0,
"content": null
},
{
"type": "text",
"bbox": [
0.121,
0.552,
0.896,
0.693
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.121,
0.695,
0.896,
0.854
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.121,
0.856,
0.895,
0.89
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "page_number",
"bbox": [
0.492,
0.916,
0.506,
0.927
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.446,
0.521,
0.574,
0.544
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.141,
0.484,
0.307,
0.508
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.49,
0.916,
0.51,
0.93
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.127,
0.856,
0.895,
0.872
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.874,
0.896,
0.89
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.553,
0.894,
0.568
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.127,
0.571,
0.895,
0.587
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.589,
0.894,
0.604
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.606,
0.893,
0.623
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.624,
0.894,
0.64
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.642,
0.891,
0.659
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.661,
0.895,
0.676
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.678,
0.32,
0.695
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.696,
0.895,
0.711
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.713,
0.893,
0.73
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.729,
0.895,
0.748
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.749,
0.896,
0.766
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.131,
0.765,
0.896,
0.783
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.783,
0.896,
0.802
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.801,
0.896,
0.82
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.818,
0.896,
0.837
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.839,
0.461,
0.854
],
"text": "",
"score": 1.0
}
],
[
{
"type": "table",
"bbox": [
0.117,
0.117,
0.903,
0.891
],
"angle": 0,
"content": "<table><tr><td colspan=\"2\">体系。构建集术前病灶精准定位分析导航及智能路径规划、微创术中手术XR辅助实时三维导航定位模块、术后图文手术记录生成模块于一体的手术导航平台及配套人才培养体系。以数字化、信息化、智能化赋能外科诊疗发展,有效提高手术患者的远期生存率与生活质量,促进创新链和产业链融合。本项目以可持续获取的术中医疗数据资产作为驱动,进一步优化云端分布式大规模预训练多任务AI模型,扩展术中影像数据应用,解决更多临床场景下数据分析与应用难题。</td></tr><tr><td colspan=\"2\">*2.2工作预期</td></tr><tr><td colspan=\"2\">目前本项目部署了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。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、提升医患信任度、加速临床医生培养。截至目前,项目已申报8项专利,完成样机制作,已通过软硬件测试及临床伦理审批,立足西北,在国家医学中心西安交通大学第一附属医院等多个三级医院试点应用,并计划进一步推动科技成果转化,目前多家公司已有投资意向。今年,项目将继续迭代升级术中记录与分析系统、分布式云端数据大数据训练中心,构建医院内AI边缘加速平台,更精确、更快速、更高效地解决术中影像分析需求,减轻外科医生工作强度。团队种子轮拟融资500万元,与西安交大一附院、空军军医大学西京医院、南科大医院为代表的三甲医院进行合作,迭代产品,将术中影像记录与分析业务拓展至全国市场。公司初期预计服务6家三甲医院130个手术室,合同金额总计700余万元,维护升级服务费每年200~250万元,持续获取优质术中影像数据资产,形成持续资金保障,加快项目进一步迭代。</td></tr><tr><td colspan=\"2\">*2.3风险评估情况</td></tr><tr><td colspan=\"2\">本项目所在的细分领域——临床医疗影像储传系统和支持决策系统作为临床数字化市场的核心,市场占有量分别为29%和19%。经测算,预计到2024年,团队项目的细分领域,临床医疗数字化记录与分析市场总规模将达到116.3亿元,且未来一段时间将持续增长态势。预计未来一年项目总资产将达到542.75万元,项目所有者权益将达到150万元。目前,随着市场发展,我国微创手术术中记录系统也由原来的单一配套生产供应,发展为综合的集生产、服务于一体的多方位服务性产品,产品质量、服务质量得到显着提升。我国医疗器械行业总体处于成长期,具有很大发展空间,产品市场总体呈现出供小于求的状态。虽然,我国出台了相关政策规范了医疗器械行业的发展,促使很多竞争企业因为环境问题都无法继续生产,但是,由于行业市场潜力大,行业竞争风险依然较大,特别是地方中小企业的低价策略对行业的冲击较大。对我们而言,主要存在三大市场风险:</td></tr></table>"
},
{
"type": "page_number",
"bbox": [
0.491,
0.915,
0.509,
0.927
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.489,
0.915,
0.511,
0.932
],
"text": "",
"score": 1.0
}
],
[
{
"type": "text",
"bbox": [
0.133,
0.119,
0.642,
0.135
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.133,
0.137,
0.581,
0.153
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.133,
0.155,
0.721,
0.189
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "list",
"bbox": [
0.133,
0.119,
0.721,
0.189
],
"angle": 0,
"content": null
},
{
"type": "text",
"bbox": [
0.122,
0.19,
0.894,
0.242
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.122,
0.244,
0.895,
0.313
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.123,
0.315,
0.892,
0.349
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.123,
0.35,
0.892,
0.385
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.123,
0.386,
0.894,
0.438
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "list",
"bbox": [
0.122,
0.19,
0.895,
0.438
],
"angle": 0,
"content": null
},
{
"type": "title",
"bbox": [
0.428,
0.5,
0.593,
0.519
],
"angle": 0,
"content": null
},
{
"type": "text",
"bbox": [
0.123,
0.561,
0.895,
0.704
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.165,
0.705,
0.66,
0.722
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.124,
0.723,
0.317,
0.739
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.122,
0.74,
0.894,
0.792
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.122,
0.793,
0.895,
0.882
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "page_number",
"bbox": [
0.491,
0.916,
0.509,
0.927
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.426,
0.499,
0.594,
0.52
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.135,
0.12,
0.641,
0.136
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.168,
0.705,
0.66,
0.722
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.136,
0.155,
0.721,
0.171
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.166,
0.174,
0.399,
0.189
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.135,
0.316,
0.894,
0.33
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.127,
0.334,
0.368,
0.348
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.135,
0.352,
0.894,
0.366
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.368,
0.4,
0.386
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.723,
0.318,
0.739
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.135,
0.191,
0.892,
0.206
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.127,
0.209,
0.894,
0.224
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.224,
0.261,
0.244
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.134,
0.387,
0.894,
0.403
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.127,
0.404,
0.894,
0.42
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.128,
0.422,
0.339,
0.437
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.127,
0.741,
0.894,
0.757
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.127,
0.759,
0.894,
0.774
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.775,
0.29,
0.792
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.135,
0.137,
0.58,
0.153
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.168,
0.563,
0.894,
0.578
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.58,
0.895,
0.597
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.598,
0.895,
0.614
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.614,
0.896,
0.633
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.123,
0.631,
0.898,
0.653
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.652,
0.895,
0.668
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.669,
0.896,
0.686
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.687,
0.241,
0.704
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.489,
0.915,
0.511,
0.931
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.135,
0.244,
0.895,
0.26
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.261,
0.895,
0.278
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.279,
0.895,
0.296
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.296,
0.322,
0.315
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.794,
0.895,
0.81
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.127,
0.811,
0.895,
0.829
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.828,
0.897,
0.847
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.847,
0.895,
0.864
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.124,
0.866,
0.498,
0.881
],
"text": "",
"score": 1.0
}
],
[
{
"type": "text",
"bbox": [
0.121,
0.119,
0.892,
0.206
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.121,
0.208,
0.548,
0.224
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.121,
0.226,
0.894,
0.313
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.122,
0.315,
0.416,
0.331
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.121,
0.332,
0.892,
0.403
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "image",
"bbox": [
0.278,
0.406,
0.734,
0.571
],
"angle": 0,
"content": null
},
{
"type": "text",
"bbox": [
0.121,
0.582,
0.895,
0.794
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "text",
"bbox": [
0.121,
0.796,
0.892,
0.884
],
"angle": 0,
"content": null,
"merge_prev": false
},
{
"type": "page_number",
"bbox": [
0.491,
0.916,
0.509,
0.926
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.124,
0.209,
0.55,
0.225
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.316,
0.418,
0.331
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.489,
0.915,
0.512,
0.931
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.118,
0.896,
0.136
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.136,
0.894,
0.153
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.154,
0.895,
0.171
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.172,
0.895,
0.189
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.19,
0.875,
0.207
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.226,
0.897,
0.242
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.243,
0.897,
0.26
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.261,
0.895,
0.278
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.279,
0.895,
0.297
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.123,
0.295,
0.204,
0.316
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.333,
0.894,
0.349
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.35,
0.895,
0.367
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.368,
0.895,
0.386
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.386,
0.885,
0.403
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.165,
0.796,
0.896,
0.813
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.814,
0.888,
0.83
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.831,
0.896,
0.848
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.849,
0.896,
0.866
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.127,
0.868,
0.845,
0.884
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.167,
0.582,
0.896,
0.599
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.6,
0.896,
0.616
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.127,
0.617,
0.895,
0.634
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.634,
0.887,
0.652
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.653,
0.891,
0.67
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.67,
0.895,
0.687
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.688,
0.896,
0.707
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.706,
0.896,
0.725
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.126,
0.724,
0.895,
0.741
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.125,
0.741,
0.896,
0.76
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.123,
0.758,
0.896,
0.779
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.122,
0.774,
0.186,
0.798
],
"text": "",
"score": 1.0
}
],
[
{
"type": "table",
"bbox": [
0.113,
0.115,
0.907,
0.896
],
"angle": 0,
"content": "<table><tr><td colspan=\"3\"></td></tr><tr><td colspan=\"3\">*2.5 支持期工作任务和考核指标</td></tr><tr><td colspan=\"3\">介绍未来3年,主要工作任务及考核指标,预期贡献,人才引进培养和团队建设情况,平台建设情况,实现经济社会效益等,限500字。期满目标:1、创业目标➢ 团队种子轮拟融资500万元,与西安交大一附院、空军军医大学西京医院、南科大医院为代表的三甲医院进行合作,迭代产品,将术中影像记录与分析业务拓展至全国市场。公司初期预计服务6家三甲医院130个手术室,合同金额总计700余万元,维护升级服务费每年200~250万元,持续获取优质术中影像数据资产,形成持续资金保障,加快项目进一步迭代。➢ 显著提高企业的经济和社会效益。2、科技成果目标➢ 获得科技奖励。➢ 发表多篇高水平学术论文。➢ 申请并获得多项相关专利。3.团队建设目标➢ 积极引进数据科学、AI研究、医学影像和临床专家,建立一支由顶尖人才构成的多学科创新团队。➢ 设立内部培训程序和职业发展计划,提升团队技能和创新能力,实现关键技术人员的持续成长和领导力发展。4.创新平台建设目标➢ 建立集数据管理、模型开发和临床测试为一体的创新平台,支持从数据收集到模型部署的全流程。➢ 完善支持高效研发和临床测试的技术平台。➢ 建立与全球领先医疗机构的合作网络。5.就业民生目标➢ 通过企业发展创造高质量的就业机会。➢ 通过技术创新提升肝胆疾病治疗的效果,改善广大患者的生活质量,减轻社会医疗负担。</td></tr><tr><td>年度</td><td>支持期工作任务(要求与后续答辩书、任务书等内容一致)</td><td>考核指标</td></tr><tr><td>2025 年度</td><td>(1)收集和处理影像数据,对系统进行深度学习优化(2)对硬件进行产品迭代</td><td></td></tr></table>"
},
{
"type": "page_number",
"bbox": [
0.491,
0.916,
0.509,
0.927
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.489,
0.915,
0.511,
0.931
],
"text": "",
"score": 1.0
}
],
[
{
"type": "table",
"bbox": [
0.114,
0.115,
0.907,
0.271
],
"angle": 0,
"content": "<table><tr><td>2026 年度</td><td>（1）开展多中心临床试验，确保技术的有效性和安全性。\n（2）与国内外顶级医疗机构建立合作关系。\n（3）本年度末，基于临床试验结果，着手准备Ⅱ、Ⅲ类医疗器械证注册。</td><td></td></tr><tr><td>2027 年度</td><td>（1）完成Ⅱ、Ⅲ类医疗器械证注册。\n（2）实施市场推广策略，确保产品商业化落地，扩大市场影响力。\n（3）本年度末，已占据一定市场，并获得收益。</td><td></td></tr></table>"
},
{
"type": "page_number",
"bbox": [
0.492,
0.917,
0.508,
0.926
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.49,
0.916,
0.511,
0.93
],
"text": "",
"score": 1.0
}
],
[
{
"type": "title",
"bbox": [
0.14,
0.091,
0.411,
0.113
],
"angle": 0,
"content": null
},
{
"type": "table",
"bbox": [
0.111,
0.12,
0.91,
0.491
],
"angle": 0,
"content": "<table><tr><td colspan=\"11\">*团队核心成员情况\n(填写团队核心成员2到5人)</td></tr><tr><td>序号</td><td>姓名</td><td>性别</td><td>国籍</td><td>出生日期</td><td>最高学位</td><td>专业技术职务</td><td>主要任务\n(主要介绍在团队中的职责分工、发挥作用)</td><td>工作单位</td><td>职务</td><td>备注</td></tr><tr><td>1</td><td>吕毅</td><td>男</td><td>/</td><td>1963.4</td><td>博士</td><td>教授</td><td>负责团队医疗方面指导及资源支持</td><td>交大一附院</td><td>院长</td><td></td></tr><tr><td>2</td><td>吴荣谦</td><td>男</td><td>/</td><td>1971.12</td><td>博士</td><td>教授</td><td>负责团队的整体技术方向与产业化</td><td>交大一附院</td><td>科技部副部长</td><td></td></tr><tr><td>3</td><td>王志博</td><td>男</td><td>中国</td><td>2001.11.14</td><td>博士在读</td><td>无</td><td>主要负责项目公司推广及运营</td><td>西安交通大学</td><td>学生</td><td></td></tr><tr><td>4</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>5</td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td><td></td></tr></table>"
},
{
"type": "title",
"bbox": [
0.14,
0.5,
0.439,
0.521
],
"angle": 0,
"content": null
},
{
"type": "table",
"bbox": [
0.111,
0.528,
0.91,
0.893
],
"angle": 0,
"content": "<table><tr><td colspan=\"9\">4.1基本情况如无可不填写</td></tr><tr><td colspan=\"2\">拟创办企业名称</td><td colspan=\"2\"></td><td>拟创办时间</td><td colspan=\"4\">填写注册时间</td></tr><tr><td colspan=\"2\">拟创办企业注册地</td><td colspan=\"2\"></td><td>拟注册资金</td><td colspan=\"4\">**万元</td></tr><tr><td colspan=\"4\">主要业务领域</td><td colspan=\"5\"></td></tr><tr><td rowspan=\"2\">创业团队人数</td><td rowspan=\"2\" colspan=\"2\">**人</td><td rowspan=\"2\">证明材料</td><td>研究生学历占比%</td><td colspan=\"2\">本科学历占比%</td><td>大专及以上学历占比%</td><td>平均年龄</td></tr><tr><td></td><td colspan=\"2\"></td><td></td><td></td></tr><tr><td colspan=\"9\">4.2 拟创办企业资本构成</td></tr><tr><td rowspan=\"4\">融资结构</td><td colspan=\"2\">股本总额</td><td></td><td>申报人投资总额及占股比例(%)</td><td></td><td colspan=\"2\">知识产权作价投资及占股比例(%)</td><td></td></tr><tr><td rowspan=\"3\" colspan=\"2\">专业投资机构投资情况</td><td colspan=\"2\">投资机构名称</td><td colspan=\"2\">投资金额(万元)</td><td colspan=\"2\">持股比例</td></tr><tr><td colspan=\"2\"></td><td colspan=\"2\"></td><td colspan=\"2\"></td></tr><tr><td colspan=\"2\"></td><td colspan=\"2\"></td><td colspan=\"2\"></td></tr></table>"
},
{
"type": "page_number",
"bbox": [
0.503,
0.914,
0.52,
0.926
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.14,
0.091,
0.415,
0.115
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.141,
0.499,
0.441,
0.522
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.5,
0.914,
0.524,
0.93
],
"text": "",
"score": 1.0
}
],
[
{
"type": "table",
"bbox": [
0.109,
0.082,
0.911,
0.435
],
"angle": 0,
"content": "<table><tr><td rowspan=\"4\" colspan=\"2\"></td><td colspan=\"2\"></td><td colspan=\"4\"></td><td colspan=\"2\"></td><td></td></tr><tr><td colspan=\"2\">其他投资</td><td colspan=\"4\">投资金额（万元）</td><td colspan=\"3\">占公司总股本比例（%）</td></tr><tr><td colspan=\"4\"></td><td colspan=\"2\"></td><td colspan=\"3\"></td></tr><tr><td colspan=\"4\"></td><td colspan=\"2\"></td><td colspan=\"3\"></td></tr><tr><td colspan=\"11\">4.3 参与创办、领办的其他企业情况 如无可不填写</td></tr><tr><td colspan=\"11\">（不包括拟创办企业，证明材料为“职务证明材料”或“法人证明材料”或“股权证明材料”，此3项内容据实填写，可合并上传。）</td></tr><tr><td>公司名称（包括省内外企业）</td><td colspan=\"2\">创办时间</td><td colspan=\"2\">曾任最高职务及任期起止时间</td><td colspan=\"2\">注册资金（万元）</td><td>最近一个会计年度销售收入</td><td>所在地（写到园区）</td><td>统一社会信用代码</td><td>证明材料</td></tr><tr><td></td><td colspan=\"2\"></td><td colspan=\"2\"></td><td colspan=\"2\"></td><td></td><td></td><td></td><td></td></tr><tr><td></td><td colspan=\"2\"></td><td colspan=\"2\"></td><td colspan=\"2\"></td><td></td><td></td><td></td><td></td></tr></table>"
},
{
"type": "title",
"bbox": [
0.14,
0.441,
0.331,
0.463
],
"angle": 0,
"content": null
},
{
"type": "table",
"bbox": [
0.132,
0.469,
0.892,
0.596
],
"angle": 0,
"content": "<table><tr><td>申报承诺书</td><td>上传（模板）</td></tr><tr><td>推荐部门审核意见</td><td>仅省内16市推荐人选填写（其他自主申报人选不用）上传（模板）</td></tr><tr><td>其他证明材料</td><td>其他需要上传的材料。</td></tr></table>"
},
{
"type": "page_number",
"bbox": [
0.503,
0.914,
0.522,
0.926
],
"angle": 0,
"content": null
},
{
"type": "ocr_text",
"bbox": [
0.141,
0.441,
0.333,
0.464
],
"text": "",
"score": 1.0
},
{
"type": "ocr_text",
"bbox": [
0.499,
0.913,
0.525,
0.931
],
"text": "",
"score": 1.0
}
]
]
Reference in New Issue View Git Blame Copy Permalink