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IngeniumAI: automated disease detection technology (ICURe Cohort 38 Team 17)

IngeniumAI: automated disease detection technology (ICURe Cohort 38 Team 17)
IngeniumAI:自动化疾病检测技术(ICURe Cohort 38 Team 17)
批准号:
10045172
负责人:
金额:
$38.18万
依托单位:
依托单位国家:
英国
项目类别:
Investment Accelerator
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
我们正在开发软件,将专业放射科医生的疾病筛查专业知识带到每个放射科诊所。我们的技术可以通过自动处理跨医疗系统获取的常规CT扫描,为许多疾病提供早期筛查。该软件为每个患者生成个性化的临床报告,突出显示经过临床验证的测量结果,以告知放射科医生并协助他们的决策过程。该软件提供了一个平台,针对大量诊断不足的情况。这样的软件使患者可以获得的护理质量相等。该软件有可能是基于云的,它提供了一个可访问的平台,而不依赖于特定的医院系统。在所有放射科诊所部署我们的软件,可以确保快速转诊,从而大幅缩短诊断和治疗时间,从而改善患者结果、减轻临床负担和相关经济成本,同时增加现有基础设施的价值。人们对增强放射科医生疾病筛查能力和效率的技术需求日益增长。超过75%的病人护理涉及放射科。在全科医生手术转诊后,放射科医生通常是医院通过CT扫描进行疾病诊断的第一道防线。尽管CT扫描通常存在疾病的迹象,但大多数诊所都是由普通放射科医生运营的,他们没有能力发现所有的疾病。如果在这个阶段没有标记出疾病的迹象,患者通常会反复去许多临床部门就诊,直到最终应该由专业放射科医生标记疾病。如果专科放射科医生能够在早期阶段看到患者,他们将能够迅速将患者转至专家护理,在减少医疗资源的情况下提供大大改善的患者结果。我们的软件便于普通放射科医生进行这一初始筛查步骤。此外,放射科医生承受着越来越大的压力。在过去的十年里,CT扫描增加了325%。然而,在2021年,英国国家医疗服务体系的放射科顾问短缺33%。到2025年,这一短缺将上升到44%。我们的软件可以帮助缓解这种技能短缺的问题,同时改善患者的预后。
英文摘要
We are developing software which brings the disease screening expertise of specialist radiologists to every radiology clinic. Our technology could provide early screening for many diseases by automatically processing routine CT scans acquired across healthcare systems. The software generates a personalised clinical report for each patient, highlighting clinically-validated measurements to inform radiologists and assist their decision making process. The software provides a platform to target a multitude of underdiagnosed conditions.Such software equalises the quality of care available to patients. With potential for the software to be cloud-based it provides an accessible platform not dependent on the specific hospital system. Deployment of our software across all radiology clinics could drastically shorten the time-to-diagnosis and treatment by ensuring swift referral, leading to improved patient outcomes, reduced clinical burden, and associated economic costs while adding value to existing infrastructure.There is a growing requirement for technology to bolster radiologists' disease screening ability and efficiency. Over 75% of all patient care involves radiology. After referral by a GP surgery, radiologists are often the first line of hospital defence in disease diagnosis by taking CT scans. Although signs of disease often exist in the CT scan, most clinics are operated by general radiologists who are not equipped to spot all diseases. If signs of disease are not flagged at this stage, the patient will often make recurring visits to many clinical departments until eventually the disease should be flagged by a specialist radiologist. If a specialist radiologist had been able to see the patient in the early stages they would have been able to rapidly refer the patient for specialist care, providing much improved patient outcomes with reduced healthcare resources. Our software facilitates general radiologists to make this initial screening step. Furthermore, radiologists are under growing pressure. Over the past ten years there has been a 325% increase in CT scans. Yet in 2021 there was a 33% shortage in NHS consultant radiologists. By 2025 this shortage is set to rise to 44%. Our software could assist in easing this skills shortage whilst improving patient outcomes.
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