TeleRehaB DSS: TeleRehabilitation of Balance clinical and economic Decision Support System

TeleRehaB DSS旨在促进人工智能在日常临床实践中的应用，以进行平衡康复训练。基于人工智能的决策支持系统（DSS）将在现有的增强现实（AR）康复训练平台的基础上进行扩展，通过HOLOBALANCE项目（TL6）的可穿戴设备和物联网设备进行平衡练习、运动游戏、认知训练和远程患者监测，为专家提供整个临床康复路径的建议反馈。TeleRehaB DSS人工智能模型的第一个组成部分将使用大量回顾性数据进行初始培训，在基线水平上评估跌倒风险、治疗效果、结果和副作用的预后因素。TeleRehaB DSS的另一个人工智能支柱将引入自动平衡干预计划和管理功能。DSS将为每位患者提供一套最佳的个性化康复活动，考虑到最佳的临床有效治疗，结合社会经济效益和电子卫生素养。后者将使用快速易用的工具进行评估，任务简单，以评估患者的技术意识水平（即智能设备，AR和物联网设备的使用），以预测这是否会影响依赖于使用此类新技术的干预措施的依从性和依从性。最后，人工智能在TeleRehaB DSS中最有益的应用将包括使用可穿戴设备和物联网传感设备进行自动远程患者监测，从而使康复训练计划能够在家中进行。DSS将实时评估患者的表现和症状，虚拟AR理疗师在进行活动时提供纠正和激励反馈。这些绩效评估措施将反馈给DSS，以支持专家进行他们最费时费力的日常患者管理活动。

TeleRehaB DSS targets the promotion of AI adoption in everyday clinical practice for balance rehabilitation training. An AI-based decision support system (DSS) will be developed expanding upon the existing Augmented Reality (AR) rehabilitation training platform, with its balance exercises, exergames, cognitive training and remote patient monitoring with wearables and IoT devices from HOLOBALANCE project (TL6), to provide suggestive feedback for experts through the entire clinical rehabilitation pathway. The first component of AI models of TeleRehaB DSS will assess prognostic factors for risk of falls, treatment effectiveness, outcomes and side effects at baseline level, using a high volume of retrospective data for initial training. The other AI pillar of TeleRehaB DSS will introduce automated balance intervention planning and management functionality. The DSS will provide for each patient an optimalset of personalised rehabilitation activities, considering the best clinically effective treatment in conjunction with socio-economic effectiveness, and eHealth literacy. The later will be evaluated with a quick and easy to use tool with simple tasksto assess patient'slevel of technological awareness (i.e. use of smart devices, AR and IoT equipment), in order to predict if this is going to affect compliance and adherence with interventions that rely on the use of such novel technologies. Finally, the most beneficial use of AI in TeleRehaB DSS will consist of automated remote patient monitoring with wearables and IoT sensing devices, allowing rehabilitation training programs to be performed at home. The DSS will evaluate in real-time patient performance, symptoms occurrence with virtual AR physio's providing corrective and motivational feedback as activities are performed. These performance evaluation measures will be fed back to the DSS to support experts with their most time and effort-consuming activities of day-to-day patient management.