ACT-FAST. ACcurate diagnosis for Triage and treatment and AI enabled STroke care Networks
快速行动。
基本信息
- 批准号:45705
- 负责人:
- 金额:$ 6.03万
- 依托单位:
- 依托单位国家:英国
- 项目类别:Collaborative R&D
- 财政年份:2020
- 资助国家:英国
- 起止时间:2020 至 无数据
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Stroke strikes every five minutes in the UK. It can happen to anyone, of any age, at any time and are a medical emergency where urgent treatment is essential. The sooner a person receives treatment for a stroke, the less damage is likely to happen.Stroke is a common and devastating condition which is most commonly caused by a blockage of an artery or bleeding from an artery in the brain.Of patients that have a stroke currently, a third die, a third are disabled and a third survive to live a normal life. Despite advances in recent preventative stroke care there are still around 100,000 strokes in the UK per year.The diagnosis of stroke remains a clinical one and is only confirmed with medical imaging, typically a CT scan. Accurate diagnosis also relies upon the scans being read in a timely manner, correctly and then sharing images with specialist centres where treatments can be planned and delivered.Whilst there have been major advances in stroke care, there are still significant delays in the diagnosis as it is often difficult to detect on the initial scans and current technology does not readily support scans being shared in a timely manner with specialised centres. This can lead to delays in treatment for stroke victims and also the unnecessary transfer of non-stroke patients to specialist centres.The ACT FAST project aims to overcome these problems by evaluating the use of technology that enables sharing imaging rapidly across hospitals and also using the platform to begin to test advanced Artificial Intelligence (AI) tools that will aid the clinicians in reading the scan to diagnose stroke.Such tools are already deployed in other countries with tangible benefits and efficiencies in stroke care. As well as assessing the performance of how such a sharing platform could augment delivery of stroke care in the NHS, we will also use an already established stroke research data set and create a repository on which clinical decision support AI based tools can be first tested and second delivered.Speeding up access to stroke imaging in a regional network and providing access to advanced decision support tools will reduce the time to make more accurate diagnosis. The sooner a person receives treatment for a stroke, the less damage is likely to happen and the more likely they will be to recover and lead a normal life afterwards.
在英国,中风每五分钟发作一次。它可以发生在任何人,任何年龄,任何时间,是一个医疗紧急情况,紧急治疗是必不可少的。中风是一种常见的疾病,通常是由于动脉阻塞或脑动脉出血引起的。目前中风患者中,有三分之一死亡,三分之一残疾,三分之一幸存下来过正常的生活。尽管近年来预防性中风护理取得了进展,但英国每年仍有约10万例中风。中风的诊断仍然是临床诊断,只能通过医学成像(通常是CT扫描)进行确认。准确的诊断还依赖于扫描结果的及时、正确读取,然后与专科中心共享图像,以便计划和提供治疗。虽然中风护理已经取得了重大进展,但诊断仍然存在重大延误,因为通常很难在初始扫描中发现,并且当前的技术不支持及时与专科中心共享扫描。ACT FAST项目旨在通过评估技术的使用来克服这些问题,该技术能够在医院之间快速共享成像,并使用该平台开始测试先进的人工智能(AI)。这些工具将帮助临床医生阅读扫描图以诊断中风。这些工具已经在其他国家部署,在中风护理方面具有切实的好处和效率。除了评估这样一个共享平台如何在NHS中增加中风护理的性能外,我们还将使用一个已经建立的中风研究数据集,并创建一个存储库,在此基础上,可以首先测试和第二次交付基于人工智能的临床决策支持工具。加快区域网络中中风成像的访问速度,并提供高级决策支持工具的访问权限,将缩短做出更多决策的时间。准确的诊断。一个人越早接受中风治疗,可能发生的损害就越小,他们就越有可能康复并过上正常的生活。
项目成果
期刊论文数量(0)
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其他文献
吉治仁志 他: "トランスジェニックマウスによるTIMP-1の線維化促進機序"最新医学. 55. 1781-1787 (2000)
Hitoshi Yoshiji 等:“转基因小鼠中 TIMP-1 的促纤维化机制”现代医学 55. 1781-1787 (2000)。
- DOI:
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LiDAR Implementations for Autonomous Vehicle Applications
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
吉治仁志 他: "イラスト医学&サイエンスシリーズ血管の分子医学"羊土社(渋谷正史編). 125 (2000)
Hitoshi Yoshiji 等人:“血管医学与科学系列分子医学图解”Yodosha(涉谷正志编辑)125(2000)。
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Effect of manidipine hydrochloride,a calcium antagonist,on isoproterenol-induced left ventricular hypertrophy: "Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,K.,Teragaki,M.,Iwao,H.and Yoshikawa,J." Jpn Circ J. 62(1). 47-52 (1998)
钙拮抗剂盐酸马尼地平对异丙肾上腺素引起的左心室肥厚的影响:“Yoshiyama,M.,Takeuchi,K.,Kim,S.,Hanatani,A.,Omura,T.,Toda,I.,Akioka,
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