Trustworthy Artificial Intelligence for Personalised Risk Assessment in Chronic Heart Failure

值得信赖的人工智能，用于慢性心力衰竭的个性化风险评估

• 批准号: 10078557
• 金额: $ 54.03万
• 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=10078557
• 关键词: Trustworthy; Artificial; Intelligence; Personalised; Risk

Cardiovascular diseases remain the main cause of mortality worldwide; in particular, heart failure (HF) poses complex challenges in clinical practice, as it is associated with a significant variability in aetiologies, manifestations and risks, as well as in its progression and trajectories over time. Clinical risks of HF can vary from reduced cardiac function and regular hospitalisations, all the way to cardiac events and mortality. There is a need for a personalised medicine approach to tailor the care models (i.e. lifestyle changes, medications, interventions) to each HF patient’srisk profile and hence optimise the clinical outcomes. Artificial intelligence (AI)solutionstrained from multi-source cardiovascular data have the potential to dissect the precise characteristics of each patient and predict their likely trajectories at an early stage. However, existing AI methods remain a far distance from clinical transfer and adoption due to a common and key limitation: their trustworthiness and acceptance by cardiologists and patients alike have not been achieved. AI4HF will develop the first trustworthy AI solutions for personalised risk assessment and management of HF patients. The project will build on a unique set of big data repositories, trustworthy AI methods, computational tools and clinical results from major EU-funded projects in cardiology. To test robustness, fairness, transparency, usability and transferability, the validation with take place in eight clinical centres in both high- and low-to-middle-income countries in the EU and internationally. AI4HF will develop a comprehensive and standardised methodological framework for trustworthy and ethical AI development and evaluation based on the FUTURE-AI guidelines developed by the consortium members. AI4HF will be implemented through continuous multi-stakeholder engagement, taking into account clinical needs and patient preferences, as well as socio-ethical and regulatory perspectives.

心血管疾病仍然是全球死亡率的主要原因。特别是，心力衰竭（HF）在临床实践中面临着复杂的挑战，因为它与病因，表现和风险以及随着时间的推移的进展和轨迹的显着差异有关。 HF的临床风险可能因心脏功能降低和常规住院而异，一直到心脏事件和死亡率。需要采用个性化医学方法来调整护理模型（即改变生活方式的变化，药物，干预措施），以便为每个HF患者的SRISK概况，从而优化临床结果。从多源心血管数据中构造的人工智能（AI）解决方案有可能剖析每个患者的精确特征，并在早期预测其可能的轨迹。但是，由于共同和关键的局限性，现有的AI方法与临床转移和采用率保持较远：他们的心脏病专家的信任和接受程度尚未实现。 AI4HF将开发第一个值得信赖的AI解决方案，用于对HF患者的个性化风险评估和管理。该项目将基于一组独特的大数据存储库，值得信赖的AI方法，计算工具以及欧盟资助的心脏病学项目的临床结果。为了测试稳健性，公平性，透明度，可用性和可转让性，在欧盟和国际上的高中和中低收入国家的八个临床中心进行了验证。 AI4HF将基于财团成员制定的未来AI指南，为可信赖和道德的AI发展和评估开发一个全面，标准化的方法学框架。考虑到临床需求和患者偏好以及社会伦理和监管观点，将通过连续的多方利益相关者参与来实施AI4HF。