Using AI to create 3D printed models to reduce a rapidly growing surgical procedure backlog caused by COVID19
Using AI to create 3D printed models to reduce a rapidly growing surgical procedure backlog caused by COVID19
批准号:
55107
负责人:
金额:
$9.49万
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2020
资助国家:
英国
项目状态:
已结题
起止时间:
2020 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Axial3D's vision is to transform the quantity and quality of surgeries that NHS Trusts can complete, as they start to recover from this COVID crisis, with the application of this vision for this project at the Belfast Trust, being to rapidly address the increasing backlog of critical surgeries. Since the start of the COVID crisis, all NHS Trusts have had to reduce the number of surgeries they are performing every week, in many cases stopping entirely. Every week this surgical capacity reduction continues, increases the burden on surgical teams, causing a life-threatening backlog in complex and critical care surgeries.Professor Derek Alderson, President of the Royal College of Surgeons, said at the end of March 2019: _"The backlog of patients waiting to start treatment continues to grow. There are now over 100,000 more patients waiting longer than 18 weeks to start treatment when compared with the same time last year. There is an urgent need for a plan to deal with the increasing backlog of patients"._Axial3D's focus for this project is to immediately provide surgeons with a game-changing new level of insight into their patient's anatomy - micro mm accurate 3D printed models. These models give surgeons a unique insight into the precise nature of the patient's condition that to date, they only will see when they have actually started the surgical procedure. Surgical teams in over 100 hospitals around the world already use our 3D models and every day provide us with quantified testimony as to the game-changing impact they have on planning surgeries. As part of this project Axial3D will develop an innovative solution using AI to help the NHS receive more of these models for patients during and after the COVID crisis. This unique approach of using artificial intelligence, allows us to automatically create 3D printed models of the orthopaedic or cardiac condition for each patient. We create these models automatically from the patient's own scans. By providing models for 105 patients, over the 8 month project, the orthopaedic and cardiac teams in the Belfast Trust believe we _can significantly reduce or even remove the backlog of surgeries due to COVID_. We will measure the benefits of the use of our models during this project on each patient, and then share the results with the wider NHS, offering the potential for a fundamental change to the way surgeries are planned.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
登录
查看更多内容
面向AI驱动的信息化工程监管与自动化测试平台研发
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:刘登志
-
依托单位:
建筑-音乐跨模态AI生成平台研发与应用
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:许蕴彰
-
依托单位:
适用于AI眼镜的横向错位光学变焦系统技术开发
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:窦健泰
-
依托单位:
AI赋能中国传统壁画大模型开发与数字再生展示
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:朱亮亮
-
依托单位:
基于协同创新视角下AI赋能课程体系的模块化开发与应用研究
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:吴惠玲
-
依托单位:
AI赋能未成年人心理健康应用研究
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:傅绪荣
-
依托单位:
备多分AI智能研学系统开发
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:常直杨
-
依托单位:
带阻尼的弹簧型减振系统的虚拟建模、能控性分析及AI数智教育技术的开发
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:王成强
-
依托单位:
基于大数据分析与AI算力的民营教培企业提档升级内控管理系统研发
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:卞禹臣
-
依托单位:
智能吊篮AI检测盒子开发
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:田申
-
依托单位: