DEVELOPING TRUSTWORTHY ARTIFICIAL INTELLIGENCE (AI)- DRIVEN TOOLS TO PREDICT VASCULAR DISEASE RISK AND PROGRESSION - VASCULAID

开发值得信赖的人工智能 (AI) 驱动工具来预测血管疾病风险和进展 - VASCULAID

• 批准号: 10079480
• 金额: $ 43.31万
• 依托单位: UNIVERSITY OF OXFORD
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 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=10079480
• 关键词: DEVELOPING; TRUSTWORTHY; ARTIFICIAL; INTELLIGENCE; AI

The aim of VASCUL-AID is to predict the risk of cardiovascular events and progression of the vascular diseases Abdominal Aortic Aneurysm (AAA) and Peripheral Arterial Disease (PAD) to influence the course of disease improving the patient’s quality of life and care and assisting clinicians to make better-informed decisions involving the patient. VASCUL-AID will allow us for the first time to identify patients who are at high risk for AAA growth or PAD progression and cardiovascular events. To this end, we will deliver a clinically relevant and cost-effective trustworthy AI-driven platform (VASCUL-AID) that integrates multi-source parameters including imaging, proteomic and genomic data as well as life-style patient data from wearables to enable personalised vascular disease management. To maximise the personalised prevention strategies, VASCUL-AID leverages visualisation toolsto improve clinician-patient communication and empower the patient. The VASCUL-AID platform consists of AI risk-prediction tools, a patient communication app an a clinical dashboard to support clinical decision-making. A particular emphasis is placed on ethics, to ensure beneficial implementation of AI prediction tools. In this project, we aim to (1) build an EU-wide data infrastructure, (2) develop an AI-based progression prediction tools for AAA and PAD, (3) develop criteria according to the COMET initiative to assess the effectiveness of VASCUL-AID, and (4) clinically test and show proof-of-concept for the VASCUL-AID platform. Once validated, this platform can be extended to other cardiovascular diseases(CVDs) as well. VASCUL-AID bringstogether 14 leading organisations(and 2 affiliated entities) consisting of clinical academic centres, institutes, universities and SMEs as well as large industry, patients organisations and policy makers that cover the full value chain to enable integration of the platform into clinical practice.

VASCUL-AID的目的是预测心血管事件的风险和血管疾病腹主动脉瘤(AAA)和周围动脉疾病(PAD)的进展，以影响病程，提高患者的生活和护理质量，并帮助临床医生做出涉及患者的更知情的决定。VASCUL-AID将首次使我们能够识别AAA生长或PAD进展和心血管事件的高危患者。为此，我们将提供一个具有临床相关性和成本效益的值得信赖的人工智能驱动平台(VASCUL-AID)，该平台集成了来自可穿戴设备的多源参数，包括成像、蛋白质组和基因组数据以及患者的生活方式数据，以实现个性化的血管疾病管理。为了最大限度地实现个性化预防策略，VASCUL-AID利用可视化工具来改善临床医生与患者的沟通，并增强患者的能力。VASCUL-AID平台由人工智能风险预测工具、患者通信应用程序和支持临床决策的临床仪表板组成。特别强调道德，以确保人工智能预测工具的有益实施。在这个项目中，我们的目标是(1)建立一个欧盟范围的数据基础设施，(2)为AAA和PAD开发一个基于人工智能的进展预测工具，(3)根据COMET倡议制定标准来评估VASCUL-AID的有效性，以及(4)临床测试和展示VASCUL-AID平台的概念验证。一旦得到验证，该平台也可以扩展到其他心血管疾病(CVD)。VASCUL-AID汇集了14个领先的组织(和2个附属实体)，包括临床学术中心、研究所、大学和中小企业，以及覆盖整个价值链的大型行业、患者组织和政策制定者，以使该平台能够整合到临床实践中。