mAIcare: AI for Self-Management of Chronic Illness
mAIcare: AI for Self-Management of Chronic Illness
批准号:
35635
负责人:
金额:
$44.58万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Long-term conditions account for 70% of total medical spending in the UK, and up to 90% in the US. The costs are set to rise as the population is ageing rapidly. Unless there is a change in how long-term conditions are managed, healthcare will become less accessible and more expensive. A solution to this may be self-management, where patients or their carers recognise symptoms and learn how to act on them promptly. We will develop an innovative approach that uses intelligent algorithms to help patients to self-manage better. Initially, we will focus on Chronic Obstructive Pulmonary Disease (COPD) - a progressive lung disease and the third leading cause of death worldwide. In many countries, COPD has already surpassed chronic heart disease as the main cause of hospital admissions. About 30% of patients discharged after a hospital admission for COPD die within 180 days, and about 50% die within two years. COPD kills more people than the second deadliest cancer, and it kills as many UK women as the deadliest cancer. And while death rates from other major causes are declining, COPD is on the rise. Warning signs and self-management plans that work for one person with COPD may not work for others, and it is now widely recognized that self-management of COPD needs to be an ongoing process individualised to each patient in order to be successful. Unfortunately, primary care providers are often overworked and have insufficient time and resources to provide tailored continual support, which reduces self-management programmes to one-off one-size-fits-all "things" given to patients. Our project will develop artificial intelligence (AI) that will adapt to patients and help them to self-manage better. Patients will be able to receive algorithmic feedback on their self-management techniques 24/7, without having to go to hospital or wait for appointments. Healthcare professionals will be able to make adjustments to self-management plans if they receive warnings from algorithms. A part of the project will help COPD patients to cope with anxiety. Our approach will put citizens in control of the illness, and encourage them to engage in evidence-based risk avoidance strategies approved by clinicians. This may both improve patient outcomes and make healthcare more sustainable. If our approach is successful, it can be extended to many other long-term diseases.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
登录
查看更多内容
面向AI驱动的信息化工程监管与自动化测试平台研发
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:刘登志
-
依托单位:
建筑-音乐跨模态AI生成平台研发与应用
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:许蕴彰
-
依托单位:
适用于AI眼镜的横向错位光学变焦系统技术开发
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:窦健泰
-
依托单位:
AI赋能中国传统壁画大模型开发与数字再生展示
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:朱亮亮
-
依托单位:
基于协同创新视角下AI赋能课程体系的模块化开发与应用研究
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:吴惠玲
-
依托单位:
AI赋能未成年人心理健康应用研究
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:傅绪荣
-
依托单位:
备多分AI智能研学系统开发
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:常直杨
-
依托单位:
带阻尼的弹簧型减振系统的虚拟建模、能控性分析及AI数智教育技术的开发
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:王成强
-
依托单位:
基于大数据分析与AI算力的民营教培企业提档升级内控管理系统研发
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:卞禹臣
-
依托单位:
智能吊篮AI检测盒子开发
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2026
-
负责人:田申
-
依托单位: