AI4HOPE: ARTIFICIAL INTELLIGENCE BASED HEALTH, OPTIMISM, PURPOSE, AND ENDURANCE IN PALLIATIVE CARE FOR DEMENTIA

痴呆症是由一系列直接或间接损害大脑的疾病和紊乱引起的。随着欧盟老龄化人口的增加，痴呆症正在成为一个严重的问题。数字健康干预措施有可能改善姑息治疗的可及性和有效性。姑息治疗是一个领域，这些技术越来越多地被评估用于教育（例如在线学习，移动的应用程序或虚拟现实工具），症状管理，护理计划，决策和互动（例如使用电话，互联网和计算机系统的专业人员和护理人员）。然而，大多数研究都集中在一个特定的干预与异质性的结果，并暴露于专业的守门和偏见的样本组成的患者谁是大多数良好，不考虑文化的影响。由于认识和治疗的改善、更有效和创新的卫生技术、患者安全的改善以及管理流行病爆发的更好能力和准备，沿着与痴呆症患者和幸存者生活质量有关的优先事项，治疗和痴呆症数据监测应至关重要。该项目将侧重于：i）更好地了解痴呆症，重点关注其后果，包括疼痛、痛苦以及健康决定因素、疾病和干预措施之间的因果联系，以便为决策提供证据基础，ii）确定综合干预措施（治疗和护理）和健康结果评估，iii）优化临床工作流程的创新数字化工具，iv）改善/制定有针对性的政策和法律的框架，为欧盟和全球层面的重大政策举措提供信息。我们通过整合数字干预措施作为痴呆症预后不良患者的姑息治疗，并使用人工智能评估数字健康干预措施的影响，来准确定位这些价值方面。

Dementia is caused by a range of illnesses and disorders that damage the brain either directly or indirectly. With the rise of the ageing population in the EU, dementia is becoming a serious problem. Digital health interventions have the potential to improve the accessibility and effectiveness of palliative care. Palliative care is an area where these technologies are increasingly being evaluated for education (e.g. online learning, mobile applications or Virtual Reality tools), symptom management, care planning, decision-making, and interaction (e.g. professionals and caregivers using phones, internet and computer systems). However, most studies focus on a specific intervention with heterogeneous outcomes and are exposed to professional gatekeeping and biased samples consisting of patients who are mostly well and without considering cultural impacts. Due to improved understanding and treatment, more effective and innovative health technologies, improved patient safety and better ability and preparedness to manage epidemic outbreaks, along with priorities related to quality of life of dementia patients and survivors, treatment and dementia data monitoring should be crucial. This project will focus on: i) better understanding of dementia, focusing on their consequences, including pain, distress and causative links between health determinants, disease and interventions in order to provide evidence-base for policy-making, ii) identification of holistic intervention (treatment and care) and assessment of health outcomes, iii) innovative digital tools to optimize clinical workflows and iv) scientific evidence for improved/tailored policies and legal frameworks and to inform major policy initiatives at EU and global level. We target exactly those aspects of value by integrating digital interventions as palliative care of patients with poor prognosis of dementia and evaluating the impact of digital health interventions using Artificial Intelligence.