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
• 金额: $ 38.18万
• 依托单位: INGENIUMAI LIMITED
• 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
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10045172
• 关键词: IngeniumAI; automated; disease; detection; technology

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.

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医疗系统中获得的常规CT扫描，为许多疾病提供早期筛查。该软件为每位患者生成个性化的临床报告，突出显示临床验证的测量结果，以告知放射科医生并协助他们做出决策。该软件提供了一个平台，可以针对大量未被诊断的疾病。这样的软件平衡了病人可获得的护理质量。由于该软件具有云计算的潜力，它提供了一个不依赖于特定医院系统的可访问平台。在所有放射科诊所部署我们的软件，可以确保快速转诊，从而大大缩短诊断和治疗的时间，从而改善患者的治疗效果，减轻临床负担，降低相关的经济成本，同时为现有基础设施增加价值。人们对技术的要求越来越高，以提高放射科医生的疾病筛查能力和效率。超过75%的病人护理涉及放射学。在全科医生转诊后，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。虽然疾病的迹象通常存在于CT扫描中，但大多数诊所是由普通放射科医生操作的，他们没有能力发现所有疾病。如果在这个阶段疾病的迹象没有被标记，病人将经常反复访问许多临床部门，直到最终疾病应该由专业放射科医生标记。如果专业放射科医生能够在早期阶段看到患者，他们就能够迅速将患者转介给专科治疗，从而在减少医疗资源的情况下大大改善患者的治疗效果。我们的软件帮助普通放射科医生进行这一初步筛选步骤。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，这一缺口将上升到44%。我们的软件可以帮助缓解这种技能短缺，同时改善患者的治疗效果。