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Trustworthy AI Tools for the Prediction of Obesity Related Vascular Diseases (AI-POD)

Trustworthy AI Tools for the Prediction of Obesity Related Vascular Diseases (AI-POD)
用于预测肥胖相关血管疾病的值得信赖的人工智能工具 (AI-POD)
批准号:
10064113
负责人:
金额:
$70.15万
依托单位:
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
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
体重问题和肥胖症正在迅速增加,欧洲国家已经有超过4.36亿人受到影响。肥胖者患心血管疾病(CVD)的风险高出50%,治疗费用每年造成超过2100亿欧元的总经济负担。到目前为止,预测肥胖患者群体中主要不良心血管事件的个体风险是一个挑战。目前的风险评分不够准确,而且没有将评分落实到用户友好的解决方案中。AI-POD项目旨在通过开发基于AI的风险预测分数来支持临床决策,并为肥胖者配备值得信赖的AI工具,从而减少欧洲与心血管疾病相关的死亡人数。人工智能工具将整合临床、实验室和成像数据,将疾病风险转化为可操作的健康信息,以指导诊断步骤和治疗建议。这些工具将在关于心血管疾病的六个临床地点得到验证,并作为在其他血管领域进行分布式学习的持久跨学科平台的基础。AI-POD将推动肥胖者心血管疾病临床洞察力的界限,包括其治疗和风险管理。AI-POD的主要成果是(1)一个新颖的基于成像的基于AI的风险评分和临床决策支持系统(CDSS),用于肥胖相关心血管疾病和相关并发症的风险评估和预测,作为进一步基于AI的预防和治疗管理的先决条件;(2)一个创新的、易于使用的公民移动应用程序(Citizen App),它与CDSS互动,使肥胖者能够更好地监测和管理自己的健康。医生将受益于更有效的工作流程,因此,公共卫生预算将通过降低肥胖者的发病率和死亡率而减轻负担。
英文摘要
Weight problems and obesity are increasing at a rapid rate already concerning more than 436mio people in European countries. Obese persons have a 50% higher risk of cardio-vascular disease (CVD) mortality and treatment costs result in a total economic burden of over 210 billion Euro per year. To date the prediction of the individual risk for major adverse CVD events in the obese patient population is a challenge. Current risk scores are not sufficiently accurate and there is no implementation of scores into user friendly solutions. The AI-POD project aims to reduce the number of CVD related deaths in Europe by developing an AI-based risk prediction score to support clinical decision making and by equipping obese persons with trustworthy AI tools. AI tools will integrate clinical, laboratory and imaging data to translate disease risk into actionable health information to guide diagnostic steps and treatment recommendations. The tools will be validated in six clinical sites on CVD and serve as the basis for a lasting interdisciplinary platform for distributed learning in other vascular territories. AI-POD will push the boundaries of clinical insight in CVD in obese persons, including its treatment and risk management. AI-POD main outcomes are (1) a novel imaging-based AI-based risk score and Clinical Decision Support System (CDSS) for the risk assessment and prediction of obesity-related CVD and associated complications as a pre-requiste for further AIbased prevention and treatment management; (2) an innovative, easy-to-use mobile app for citizens (Citizen App) that interacts with the CDSS empowering obese people to better monitor and manage their own health. Physicians will benefit from more efficient workflows and in consequence, public health budgets will be unburdened by reducing morbidity and mortality of obese indiviudals.
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