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Title: Moving medically certifiable AI algorithms from the Cloud and onto the Medi-OS Operating System of Medical Devices to automate, make robust and increase uptake of AI in healthcare: Use-case will be community-based spirometry.

Title: Moving medically certifiable AI algorithms from the Cloud and onto the Medi-OS Operating System of Medical Devices to automate, make robust and increase uptake of AI in healthcare: Use-case will be community-based spirometry.
标题:将医学认证的人工智能算法从云端转移到医疗设备的 Medi-OS 操作系统上,以实现自动化、稳健并增加人工智能在医疗保健领域的采用:用例将是基于社区的肺活量测定。
批准号:
10064449
负责人:
金额:
$6.07万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
已结题
起止时间:
2023 至 --

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中文摘要
翻译
肺活量测定法是一种简单的医学测试,通过测量患者一次用力呼吸可以呼出多少空气来帮助诊断和监测肺部状况。医用监护仪被称为肺活计。肺活量测定是由受过训练的护士或生理学家在全科医生手术或去医院诊所时进行的。全球范围内缺乏经过培训和认证的工作人员来执行这些测试。肺活量测试在大流行期间被停止,事实证明,由于可用专家的短缺,很难在NHS重新开始测试。**为什么要进行肺活量测定?**肺活量测定用于诊断或筛查肺部疾病。根据英国肺基金会(2023年)的数据,肺部健康疾病每年花费NHS 110亿GB(占GDP的0.6%:NHS的直接成本100亿GB,失去工作的10亿GB)。使用肺活量测定仪诊断和监测的疾病包括哮喘、慢性阻塞性肺疾病(COPD)、支气管扩张、囊性纤维化和肺纤维化。也可以进行肺活量测定来检查病情的严重性或观察患者对治疗的反应。**肺活量测定是如何进行的**患者对着机器用力呼吸三到八次,以获得可靠的结果。它需要熟练的临床医生来确保结果的质量,所以这些结果不能立即得到。审查后,结果将被发送给推荐患者进行测试的医生,以便稍后与患者讨论。这需要时间,而且是劳动密集型的。**使用人工智能来支持即时的临床决策**已经有基于网络的人工智能程序来准确地“审查”发送给它的呼吸动作(数据)。这些服务以完全自动化的流程发回一份报告。但这仍然涉及将患者信息发送出去(通常在英国以外),在可打印的报告返回并由医生审查之前仍有相当长的延迟。**创新**利用现有的15,700份患者记录,该联盟将创建新的软件,该软件将在医疗设备上运行,使用人工智能执行专家分析,立即给出结果,用于全科医生手术或基于社区的诊断中心。这将需要一个强大的联盟团队来实现这一创新。这也为使用这种新的医疗设备软件、它如何学习以及如何将其认证为值得信赖的医疗设备,用于一系列其他医疗监测设备开辟了道路。
英文摘要
Spirometry is a simple medical test used to help diagnose and monitor lung conditions by measuring how much air a patient can breathe out in one forced breath. The medical monitor is called a spirometer.Spirometry is performed by a trained nurse or physiologist in a GP surgery or during a visit to a hospital clinic. There is a Worldwide shortage of trained and certified staff to perform these tests. Spirometry testing was stopped during the pandemic and it is proving difficult to restart in the NHS because of the shortage of experts available.**WHY IS SPIROMETRY CARRIED OUT?**Spirometry is used to diagnose or screen for lung conditions. Lung health conditions cost the NHS £11Billion a year (0.6% of GDP: £10 Billion direct cost to the NHS, £1Billion in lost work) according to the British Lung Foundation (2023).Conditions diagnosed and monitored using spirometry include asthma, chronic obstructive pulmonary disease (COPD), bronchiectasis, cystic fibrosis and pulmonary fibrosis. Spirometry may also be carried out to check the severity of the condition or to see how a patient is responding to treatment.**HOW IS SPIROMETRY PERFORMED**Patients breathe forcefully into a machine three-to-eight times to get reliable results. It requires a skilled clinician to ensure results are of good quality, so these results are not available immediately. After review, results are sent to the doctor who referred the patient for the test for discussion with the patient at a later date. This takes time and is labour-intensive.**USING ARTIFICIAL INTELLIGENCE TO SUPPORT IMMEDIATE CLINICAL DECISIONS**There are already web-based AI programmes to accurately "review" breath manoeuvres (data) which are sent to it. These services send back a report in a fully automated process. But this still involves sending patient information away (usually outside of the UK), and there is still a considerable delay before the printable report is returned and reviewed by the doctor.**INNOVATION**Using 15,700 existing recordings from patients, the consortium will create new software which will operate on a medical device that can perform expert analysis using AI to give results immediately for use in a GP surgery or community-based diagnostic hub. This will require a strong consortium team to deliver this innovation.This also opens the way to use this new medical device software, how it learns and how it can be certified as a trustworthy medical device, for a range of other medical monitoring devices.
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