Data-driven fitting for the next generation of prosthetic sockets

数据驱动的下一代假肢接受腔适配

• 批准号: 10014827
• 金额: $ 52.95万
• 依托单位: RADII DEVICES LTD
• 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
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10014827
• 关键词: Data; driven; fitting; next; generation

Radii is motivated by the need to improve the fitting of prosthetic limbs for the 170m people worldwide with amputations. This is an urgent priority for patients: a well-fitting prosthetic socket is the determining factor in enabling mobility and participation in society; and for the clinic: with increasing demand for prosthetic limbs, increasing cost burden, and resulting need to support prosthetists to achieve perfect socket fit, faster, with fewer rejections.The prosthetic socket interfaces between the residual limb and the prosthetic componentry. However advanced the componentry, if the socket is the wrong shape or size, or the pressure distribution doesn't match the user's needs, the limb will be completely useless. These sockets are complex to design due to variability in patient limb shape, soft tissue stiffness and regional tolerance to load. Rejection rates are 31%.Since 2014, University of Southampton researchers have developed technology to meet the patient and clinic need, guided by input from providers including Opcare, and patients. Radii Devices are translating this technology to the clinic.This project will develop a revolutionary system to support prosthetists in the design of prosthetic sockets, supporting the complex rectification process with data and AI to enable better designs for perfect fit, faster, with fewer patient appointments.Innovations include:* Technical: the first solution to provide data-driven support in the socket design process, capable of designing complex devices which fully utilise cutting-edge 3D printing technologies.* Scientific: powered by the world's largest dataset of socket designs, limb shapes, and outcome measures -- initially 1000, increasing post-deployment.* Commercial: a fully interoperable system, compatible with any digital shape capture and manufacturing method, which can be licenced and integrated into clinical pathways worldwide.The healthcare challenge is sizeable, with 7,000 amputations performed annually by NHS England, with a £60m cost burden, and 185,000 amputations annually in the US. The challenge is growing with ageing populations and rising diabetes incidence.The Radii innovation will meet the healthcare challenge and offer socio-economic impact by:* Enabling prosthetists to design better fitting sockets by providing predictive AI models, unlocking the potential of data to support achievement of perfect fit, faster.* Reducing time to fit.* Reducing rejection rates and reducing costs of refits.* Offering savings of ~£200k/year per clinic.* Improving patient outcomes and quality of life, with improved comfort and enabling full participation in society.

Radii的动机是需要为全球1.7亿截肢者改进假肢的安装。对于患者来说，这是一个紧迫的优先事项：一个合适的假肢接受腔是实现活动能力和参与社会的决定性因素;对于临床来说：随着对假肢的需求不断增加，成本负担不断增加，因此需要支持假肢专家更快地实现完美的接受腔配合，减少排斥。假肢接受腔是残肢和假肢部件之间的接口。无论部件多么先进，如果插座的形状或尺寸不正确，或者压力分布与用户的需求不匹配，肢体将完全无用。由于患者肢体形状、软组织硬度和局部负荷耐受性的变化，这些关节窝设计复杂。拒绝率为31%。自2014年以来，南安普顿大学的研究人员已经开发出技术，以满足患者和诊所的需求，由包括Opcare在内的供应商和患者提供指导。Radii Devices正在将这项技术应用于临床。该项目将开发一个革命性的系统，以支持假肢接受腔的设计，通过数据和人工智能支持复杂的矫正过程，从而实现更好的设计，以更快的速度实现完美的配合，减少患者预约。创新包括：* 技术：第一个在插座设计过程中提供数据驱动支持的解决方案，能够设计出充分利用尖端3D打印技术的复杂设备。科学：由世界上最大的插座设计，肢体形状和结果测量数据集提供支持-最初为1000，部署后增加。商业：这是一个完全可互操作的系统，兼容任何数字形状捕获和制造方法，可以获得许可并集成到全球的临床路径中。医疗保健挑战是相当大的，英国NHS每年进行7,000例截肢手术，成本负担为6000万英镑，美国每年进行185,000例截肢手术。随着人口老龄化和糖尿病发病率的上升，这一挑战日益严峻。Radii的创新将通过以下方式应对医疗保健挑战并产生社会经济影响：* 通过提供预测性AI模型，使修复师能够设计出更好的适配插座，释放数据的潜力，以支持更快地实现完美适配。*缩短安装时间 *减少废品率和降低改装成本。*每个诊所每年可节省约20万英镑。*改善患者的治疗效果和生活质量，提高舒适度，使患者能够充分参与社会。