Computer-Vision aided community back pain Physiotherapy services

Good Boost是一家支持英国MSK患者的医疗技术社会企业。Good Boost通过在公共游泳池提供水上康复锻炼，以及在防水平板电脑上安装人工智能软件，对用户的健康产生积极影响。为应对2019冠状病毒病，Good Boost在现有技术的基础上设计、构建和提供锻炼软件，让用户在自己家中安全舒适地提供锻炼软件。患有MSK的人中有三分之一的人年龄超过60岁，很大一部分人患有一种或多种长期健康问题，如糖尿病或心脏病。由于这一人群在感染Covid-19后出现健康并发症的风险增加，因此在家中提供数字物理治疗服务至关重要。由于物理治疗和关节手术服务的改变和取消，随着MSK卫生系统努力克服Covid-19给其带来的挑战，Good Boost的个性化康复训练支持MSK疾病的管理。该项目的技术重点是开发计算机视觉技术（人工智能视频分析），以评估背痛患者的功能功能和运动。每年有三分之一的英国人受到背痛的影响，对医疗服务和经济产生了巨大影响。计算机视觉技术将使用现有的手机/平板电脑/网络摄像头来评估个人的运动和功能，并根据计算机视觉脊柱评估建议量身定制的自我管理建议和康复练习。该项目包括进一步发展计算机视觉评估、运动和功能测试，以筛查属于轴向脊椎关节病（炎性脊柱关节炎）类别的更严重的背痛状况。这种终生的疾病在20岁出头时表现为“常规”背痛。由于它与其他非严重的背部疼痛相似，它的诊断平均延迟8.5年。计算机视觉系统将使这些条件的远程筛查遵循物理治疗运动评估的最佳实践，以筛查和监测轴型脊椎关节病。Good Boost拥有一支由临床和技术专家组成的专家团队，他们在全国范围内开发和提供医疗软件和社区卫生服务方面有着成功的记录。计算机视觉工具将与肌肉骨骼慈善机构合作，作为数字工具进行推广，以最大限度地提高知名度和使用率。该工具将免费用于初步评估，以确保全国范围的可访问性。为了进行持续的评估和个性化的康复训练，用户可以选择订阅每月的Good Boost应用（每月4英镑）。这个高价值的项目将支持成千上万的人在自己的家中显著改善他们的背痛，功能和生活质量，并减少轴向脊椎关节病的诊断延迟。该项目将节省医疗成本，减轻疫情期间NHS的总体负担，并通过远程身体功能评估无限期地提供长期社区服务，减少汽车出行和碳排放。

Good Boost is a medical technology social enterprise supporting people living with MSK conditions in the UK. Good Boost positively impact users' health through the delivery of aquatic rehabilitation-exercise in public swimming pools and via its AI software on waterproof tablet computers.In response to Covid-19, Good Boost has built upon its existing technology to design, build and deliver exercise software to be delivered in the safety and comfort of users' own homes. One-third of people living with an MSK condition are over 60-years old and a high proportion live with one or more long-term health condition such as diabetes or heart disease. As this population has an increased risk of health complications in the event of Covid-19 infection, it is essential that digital physiotherapy services are available at home. Due to the alteration and cancellation of physiotherapy and joint surgery services, Good Boost's individually-tailored rehabilitation exercises support the management of MSK conditions as the MSK health system work to overcome the challenges placed upon it by Covid-19\.The focus of the technology in this project is the development of computer-vision technology (artificial intelligence video analysis) to assess the functional function and movement of people with back pain. Back pain affects one-third of the UK population every year with a huge impact on the health service and economy. The computer-vision technology will use existing cameras on phones/tablets/webcams to assess an individual's movement and function and recommend tailored self-management advice and rehabilitation exercises based on the computer-vision spinal assessment. This project includes the development of further computer-vision assessment movement and functional tests to screen for more serious back pain conditions that fall under the category of Axial Spondyloarthropathy (inflammatory spine arthritis). This life-long condition presents in the early twenties as 'regular' back pain. Due to its similarity to other non-serious back pain conditions, it has an average 8.5 year delay to diagnosis. The computer-vision system will enable the remote screening of these conditions following the best-practice in Physiotherapy movement assessment in screening and monitoring Axial Spondyloarthropathy.Good Boost comprises an expert team of clinical and technology specialists with a successful track record of developing and delivering medical software and community health services on a national scale. The computer-vision tool will be promoted as a digital tool in collaboration with musculoskeletal charities to maximise visibility and uptake. The tool will be free to use for initial assessment to ensure nationwide accessibility. For ongoing assessments and individually-tailored rehabilitation exercises, users have the option to subscribe to the monthly Good Boost app (£4 per month).This high-value project will support thousands of people in their own home to significantly improve their back pain, function and quality of life in addition to reducing the delay to diagnosis for Axial Spondyloarthropathy. The project will generate health cost savings and reduce the overall burden on the NHS during the pandemic and indefinitely provide a long-term community service that reduces car journeys and carbon emissions through remote physical function assessments.