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Fraxpert: AI-supported fracture diagnosis system to tackle the radiology workforce crisis in the UK

Fraxpert: AI-supported fracture diagnosis system to tackle the radiology workforce crisis in the UK
Fraxpert:人工智能支持的骨折诊断系统可解决英国放射科劳动力危机
批准号:
10021603
负责人:
金额:
$6.37万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2022
资助国家:
英国
项目状态:
已结题
起止时间:
2022 至 --

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中文摘要
翻译
Seeai LTD是一家位于利兹的医疗技术公司,旨在减少健康不平等,并在世界各地提供最好的医疗服务。该项目由Seeai LTD的董事兼联合创始人Saile Villegas领导。Saile Villegas由一位单身母亲抚养长大,在墨西哥一个以男性为主的城镇,卡特尔和暴力就在拐角处。作为一个女人追求STEM的职业生涯是难以置信的。尽管如此,她还是表现出了一种令人难以置信的动力,要搬到英国去追求她对计算机科学的热情。现在,她领导着一个多学科的专家团队,从放射科医生到计算机科学教授,与NHS一起开发一种人工智能(AI),可以像放射科专家一样检测骨折。英国每年发生152,000例骨折误诊。通常,疑似骨折的患者会去急症室(A&E)接受X光检查。由于缺乏放射科医生,这些X光片通常由没有放射学专业知识的医疗保健专业人员进行审查,导致在这种高压环境下错误率高达30%。Saile Villegas领导了与NHS Grampian的两年合作,开发了一个名为Fraxpert的人工智能支持的早期骨折诊断系统,以帮助临床医生自信地识别细微(很难看到)的骨折。Seeai已经完成了一个工作原型,该系统的内部验证显示检测性能达到了放射科专家的水平。该项目将使Fraxpert从工作原型转变为受监管的产品。Seeai将访问各种医院(小型-大型,农村-城市),并研究整合AI的最佳临床路径。这项调查也将使Seeai能够识别潜在的客户。该奖项的支持将使Fraxpert能够有效地从研发过渡到可以商业化的产品。Fraxpert在医院的成功实施将帮助医疗保健提供商科普放射科医生短缺的问题,并改善患者的治疗效果。该奖项还将为Saile Villegas提供一个机会,让她具备成功将其创新商业化所需的商业战略技能。此外,该方案提供的辅导网络将使她能够向其他女性学习创新,以提高她作为创新领导者的能力。
英文摘要
This project is led by Saile Villegas, director and co-founder of Seeai LTD, a Med-tech company based in Leeds that aims to reduce health inequalities and deliver the best medical care in every corner of the world.Saile Villegas was raised by a single mother, in a male-dominated town in Mexico, where cartels and violence are around the corner. Pursuing a career in STEM as a woman was beyond belief. Despite that, she showed an incredible drive to move to the UK and pursue her passion for computer science. Now she leads a multidisciplinary team of experts, from radiologists to computer science professors, to develop an Artificial Intelligence (AI) that can detect fractures as well as expert radiologists, with the NHS.Every year 152,000 fracture misdiagnosis occur in the UK. Usually, patients with suspected fractures attend the Accident and Emergency (A&E) department and receive an x-ray examination. These x-rays are often reviewed by healthcare professionals without radiological expertise, due to the shortage of radiologists, resulting in a high error rate of up to 30% in this high-pressure environment.Saile Villegas has led a collaboration with NHS Grampian for two years to develop an AI-supported early fracture diagnosis system, named Fraxpert, to assist clinicians in confidently identifying subtle (hard to see) fractures. Seeai has completed a working prototype and the internal validation of the system showed detection performance to the level of expert radiologists.This project will take Fraxpert from a working prototype to a regulated product. Seeai will visit various hospitals (small-large, rural-urban) and research the optimal clinical pathway to integrate the AI. This investigation will also allow Seeai to identify potential customers.The support from the award will allow Fraxpert to effectively transition from R&D into a product that can be commercialised. Successful implementation of Fraxpert in hospitals will help healthcare providers cope with the shortage of radiologists and improve patient outcomes.This award will also provide an opportunity for Saile Villegas to equip herself with the business strategy skills required to successfully commercialise her innovation. In addition, the network of mentoring offered by the programme will allow her to learn from other women in innovation to improve her capabilities as a leader in innovation.
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